Data wrangling in R

Using the tidyverse

Author

Affiliations

Josh Merfeld

KDI School of Public Policy and Management

IZA

1 Introduction

This page gives a brief introduction to data wrangling in R with the suite of packages including in the tidyverse. I assume a basic understanding of R (for example, using the $ operator to extract columns from a data frame) but I have nonetheless tried to keep the examples as simple as possible. I have been using the tidyverse for a couple of years now, and I find it to be much more intuitive than alternative options for data wrangling in R. That said, there are other options, with the most common alternative likely being the data.table package. Some other details:

• For tables, I tend to use the kable (and kableExtra) package(s) when working with Quarto or RMarkdown documents. There are many other options here, as well!
• For figures, I default to the ggplot2 package (which comes with the tidyverse). The most common alternative is likely the base R plotting system, which many people use to great effect. I find ggplot2 to be more intuitive, but that is likely because I learned it first.

Resources

There are many, many, many resources available to learn about the tidyverse. First and foremost, the official website is a great place to start. There are also many books available. One of my favorites is R for Data Science, which is available for free online. Between these two resources, you should be able to get a good handle on the tidyverse, above and beyond anything I teach you here.

The data

For this example, I use household survey data from Malawi. Specifically, I use the 2019 fifth integrated household survey (aka the IHS5). This data is publicly available from the National Statistical Office of Malawi (NSO) and from the World Bank’s microdata repository. As this is a public dataset and since I am using it as part of a class I teach at the KDI School, I have uploaded the data to the course’s GitHub repository. However, two small notes:

• I have not included one specific module from the survey: HH_MOD_G1 (section G1 from the household module). The file itself is almost 500 MB, which is above GitHub’s limit. If you want to play around with that specific module, you can download it yourself from the website above.¹
• I have created a single .zip file that you can download from my Dropbox. You can download it here.² The file is about 115 MB. Alternatively, you can just download the individual modules from the GitHub repository, here.

The example

To show some of the many features of the tidyverse vis-a-vis data wrangling, I will be using data with the following aim: to predict household expenditures per capita using a variety of household characteristics. This is a common exercise in applied microeconometrics, and it is a good way to show off the power of the tidyverse for data wrangling.

2 Understanding the file structure of household survey data

I remember when I first started working with household survey data during my first year of Ph.D. It took me a while to really wrap my head around the file structure of the data! The good news is that household surveys like the IHS5 tend to have similar structures, so once you master one, you will generally be ready to work with others. The first thing to do is to make sure you have the questionnaire downloaded. I include the household questionnaire here:

Note that the IHS5 also as other questionnaires: an agricultural questionnaire, a community questionnaire, etc. In this example, we will only be working with the household questionnaire.

The household questionnaire is a long document, but it includes all of the questions asked by enumerators, so it is worth spending some time looking through. As an example, suppose we want to create variables about household demographics. We need to find the proper module in the dataset that has information about household composition; in other words, we need to find the household roster. For the IHS5, this is Module B (page 5 of the questionnaire above).

One tricky thing about household survey data is that different modules are at different levels of aggregation. For example, the household roster is at the individual level, whereas the household expenditure module is at the household level. If we want to merge the household roster into the expenditure module, we will have to aggregate the roster to the household level. This is a common task in data wrangling, and I will show you how to do this below. As someone who has worked a lot with agricultural data, wrapping your head around the different levels of aggregation is a key skill in working with this type of survey data. Some agricultural modules ask about individual plots (i.e. it is at the plot level), whereas others ask about plot-crops (i.e. it asks about different crops *on the same plot), while still others might ask about crops only (one observation for each crop the household grows).

3 Loading and viewing data

I will be using two packages throughout this tutorial: tidyverse and haven. The tidyverse is a suite of packages that are designed to work together seamlessly. The haven package provides functions to read and write datasets from different programs, including Stata and SPSS. Let’s load these first. Note that if you do not have these downloaded, you will first need to install them. You can do so by running install.packages(c("tidyverse", "haven")).³

# load libraries
library(tidyverse)
library(cowplot)
library(haven)

Let’s load the household roster using the haven package, specifically the read_dta() function, since this household survey is in a Stata format.

df <- read_dta("datawranglingfiles/HH_MOD_B.dta")
glimpse(df)

Rows: 50,476
Columns: 53
$ case_id      <chr> "101011000014", "101011000014", "101011000014", "10101100…
$ HHID         <chr> "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde…
$ PID          <dbl> 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 5, 1, 2, …
$ hh_b03       <dbl+lbl> 1, 2, 1, 1, 2, 1, 1, 1, 2, 1, 2, 1, 1, 2, 2, 1, 2, 1,…
$ hh_b04       <dbl+lbl> 1, 2, 3, 3, 1, 3, 3, 3, 1, 3, 3, 3, 1, 2, 3, 3, 3, 1,…
$ hh_b04a      <dbl+lbl>  2,  1,  2, NA,  2,  2,  2,  2,  1, NA, NA, NA,  2,  …
$ hh_b05_2     <dbl+lbl> NA, NA,  2,  1, NA, NA, NA, NA, NA,  1,  1,  1, NA, N…
$ hh_b05_2_1   <dbl+lbl> NA, NA, NA,  1, NA, NA, NA, NA, NA,  1,  1,  1, NA, N…
$ hh_b05a      <dbl> 41, 34, 11, 4, 55, 18, 13, 13, 25, 8, 3, 0, 51, 43, 27, 2…
$ hh_b05b      <dbl> NA, NA, NA, 8, NA, NA, NA, NA, NA, NA, 9, 9, NA, NA, NA, …
$ hh_b06a      <dbl+lbl> 10,  1, 11, 12,  7,  8, 10, 10, 12,  7, 11, 11,  1, 1…
$ hh_b06b      <dbl> 1977, 1985, 2007, 2014, 1964, 2001, 2005, 2005, 1993, 201…
$ hh_b07       <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ hh_b08       <dbl> 7, 7, 0, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, …
$ hh_b09       <dbl+lbl> 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 7,…
$ hh_b10a      <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
$ hh_b10b      <dbl+lbl>  NA,  NA,  NA,  NA,  NA,  NA,  NA,  NA,  NA,  NA,  NA…
$ hh_b10_oth   <chr> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "…
$ hh_b11       <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2,…
$ hh_b12       <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
$ hh_b13       <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
$ hh_b13_oth   <chr> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "…
$ hh_b14       <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
$ hh_b15a      <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
$ hh_b15b      <dbl+lbl>  NA,  NA,  NA,  NA,  NA,  NA,  NA,  NA,  NA,  NA,  NA…
$ hh_b15b_oth  <chr> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "…
$ hh_b16a      <dbl+lbl> 98, 98,  1,  1, 97, 98, 98, 98, 97, 97, 97, 97, 98, 9…
$ hh_b16b      <dbl> NA, NA, 1, 1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1, …
$ hh_b17       <dbl> 34, 18, NA, NA, NA, 7, 3, 3, NA, NA, NA, NA, 46, 40, NA, …
$ hh_b18       <dbl+lbl> 1, 4, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
$ hh_b19a      <dbl+lbl> 97, 98,  1,  1, 97,  1,  1,  1, 97,  1,  1,  1, 97, 9…
$ hh_b19b      <dbl> NA, NA, 2, 2, NA, 1, 1, 1, NA, 1, 1, 1, NA, NA, 2, 2, 2, …
$ hh_b20       <dbl> NA, 17, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
$ hh_b21       <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 3, 3, 3, 1,…
$ hh_b22       <dbl+lbl> 13, NA, NA, NA, 11, NA, NA, NA, 11, NA, NA, NA, 11, N…
$ hh_b22_oth   <chr> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "…
$ hh_b23       <dbl+lbl>  3,  3, NA, NA,  3,  3,  3,  3,  3, NA, NA, NA,  3,  …
$ hh_b23_oth   <chr> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "…
$ hh_b24       <dbl+lbl>  2,  1, NA, NA,  5,  6,  6,  6,  3, NA, NA, NA,  1,  …
$ hh_b24_1     <dbl+lbl>  1,  1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  1,  …
$ hh_b24_1_oth <chr> "", "", "", "", "", "", "", "", "", "", "", "", "", "", "…
$ hh_b24_2     <dbl+lbl>  1,  1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2,  …
$ hh_b25       <dbl+lbl>  1,  1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  1,  …
$ hh_b26a      <dbl> 2, 1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 2, 1, NA, N…
$ hh_b26a_1    <dbl> 2006, 2006, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1990,…
$ hh_b26b      <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
$ hh_b26b_1    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
$ hh_b26b_2    <dbl+lbl>  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
$ hh_b26c      <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
$ hh_b26c_1    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
$ hh_b26c_2    <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
$ hh_b27       <dbl+lbl>  1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
$ hh_b28       <dbl> 1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…

Notice the use of the glimpse() function. This function provides an overview of the data, including the number of rows (observations), the number of columns (variables), the variable names and class (e.g. character, number), and a preview of the first few observations for each variable.

Another common function to use is head(), which shows the first few observations of the data (across all variables). Here is an example:⁴

head(df)

# A tibble: 6 × 53
  case_id      HHID                               PID hh_b03     hh_b04                  hh_b04a   hh_b05_2  hh_b05_2_1 hh_b05a hh_b05b hh_b06a       hh_b06b hh_b07 hh_b08 hh_b09                             hh_b10a   hh_b10b   hh_b10_oth hh_b11    hh_b12 hh_b13    hh_b13_oth hh_b14    hh_b15a   hh_b15b   hh_b15b_oth hh_b16a                   hh_b16b hh_b17 hh_b18        hh_b19a                   hh_b19b hh_b20 hh_b21    hh_b22           hh_b22_oth hh_b23            hh_b23_oth hh_b24                                      hh_b24_1         hh_b24_1_oth hh_b24_2                                                    hh_b25    hh_b26a hh_b26a_1 hh_b26b hh_b26b_1 hh_b26b_2 hh_b26c hh_b26c_1 hh_b26c_2 hh_b27    hh_b28
  <chr>        <chr>                            <dbl> <dbl+lbl>  <dbl+lbl>               <dbl+lbl> <dbl+lbl> <dbl+lbl>    <dbl>   <dbl> <dbl+lbl>       <dbl>  <dbl>  <dbl> <dbl+lbl>                          <dbl+lbl> <dbl+lbl> <chr>      <dbl+lbl>  <dbl> <dbl+lbl> <chr>      <dbl+lbl> <dbl+lbl> <dbl+lbl> <chr>       <dbl+lbl>                   <dbl>  <dbl> <dbl+lbl>     <dbl+lbl>                   <dbl>  <dbl> <dbl+lbl> <dbl+lbl>        <chr>      <dbl+lbl>         <chr>      <dbl+lbl>                                   <dbl+lbl>        <chr>        <dbl+lbl>                                                   <dbl+lbl>   <dbl>     <dbl>   <dbl>     <dbl> <dbl+lbl>   <dbl>     <dbl> <dbl+lbl> <dbl+lbl>  <dbl>
1 101011000014 7d78f2c5da59436d9bde9b09ea8a8aaf     1 1 [MALE]   1 [HEAD]                 2 [NO]   NA        NA              41      NA 10 [OCTOBER]     1977      0      7 1 [THIS VILLAGE]                   NA        NA        ""         1 [YES]       NA NA        ""         NA        NA        NA        ""          98 [DEAD]                      NA     34 1 [NONE]      97 [LIVING OUTSIDE OF HH]      NA     NA 1 [NONE]  13 [SUKWA/NDALI] ""          3 [CHRISTIANITY] ""          2 [POLYGAMOUS MARRIED OR NON-FORMAL UNION]  1 [PATRILINEAL] ""            1 [STAY IN OWN VILLAGE AS SPOUSE IS FROM THE SAME VILLAGE]  1 [YES]        2      2006      NA        NA  2 [NO]        NA        NA NA         1 [YES]       1
2 101011000014 7d78f2c5da59436d9bde9b09ea8a8aaf     2 2 [FEMALE] 2 [WIFE/HUSBAND]         1 [YES]  NA        NA              34      NA  1 [JANUARY]     1985      0      7 2 [OTHER VILLAGE IN THIS DISTRICT] NA        NA        ""         1 [YES]       NA NA        ""         NA        NA        NA        ""          98 [DEAD]                      NA     18 4 [MSCE/GCSE] 98 [DEAD]                      NA     17 1 [NONE]  NA               ""          3 [CHRISTIANITY] ""          1 [MONOGAMOUS MARRIED OR NON-FORMAL UNION]  1 [PATRILINEAL] ""            1 [STAY IN OWN VILLAGE AS SPOUSE IS FROM THE SAME VILLAGE]  1 [YES]        1      2006      NA        NA NA             NA        NA NA        NA            NA
3 101011000014 7d78f2c5da59436d9bde9b09ea8a8aaf     3 1 [MALE]   3 [CHILD/ADOPTED CHILD]  2 [NO]    2 [NO]   NA              11      NA 11 [NOVEMBER]    2007      0      0 1 [THIS VILLAGE]                   NA        NA        ""         1 [YES]       NA NA        ""         NA        NA        NA        ""           1 [MEMBER OF HH]               1     NA 1 [NONE]       1 [MEMBER OF HH]               2     NA 1 [NONE]  NA               ""         NA                ""         NA                                          NA               ""           NA                                                          NA             NA        NA      NA        NA NA             NA        NA NA        NA            NA
4 101011000014 7d78f2c5da59436d9bde9b09ea8a8aaf     4 1 [MALE]   3 [CHILD/ADOPTED CHILD] NA         1 [YES]   1 [YES]         4       8 12 [DECEMBER]    2014      0      7 1 [THIS VILLAGE]                   NA        NA        ""         1 [YES]       NA NA        ""         NA        NA        NA        ""           1 [MEMBER OF HH]               1     NA 1 [NONE]       1 [MEMBER OF HH]               2     NA 1 [NONE]  NA               ""         NA                ""         NA                                          NA               ""           NA                                                          NA             NA        NA      NA        NA NA             NA        NA NA        NA            NA
5 101011000023 7144cc6d29b3485d9e6d6188b255c756     1 2 [FEMALE] 1 [HEAD]                 2 [NO]   NA        NA              55      NA  7 [JULY]        1964      0      7 1 [THIS VILLAGE]                   NA        NA        ""         1 [YES]       NA NA        ""         NA        NA        NA        ""          97 [LIVING OUTSIDE OF HH]      NA     NA 1 [NONE]      97 [LIVING OUTSIDE OF HH]      NA     NA 1 [NONE]  11 [LAMBYA]      ""          3 [CHRISTIANITY] ""          5 [WIDOW OR WIDOWER]                       NA               ""           NA                                                          NA             NA        NA      NA        NA NA             NA        NA NA        NA            NA
6 101011000023 7144cc6d29b3485d9e6d6188b255c756     2 1 [MALE]   3 [CHILD/ADOPTED CHILD]  2 [NO]   NA        NA              18      NA  8 [AUGUST]      2001      0      7 1 [THIS VILLAGE]                   NA        NA        ""         1 [YES]       NA NA        ""         NA        NA        NA        ""          98 [DEAD]                      NA      7 2 [PSLC]       1 [MEMBER OF HH]               1     NA 1 [NONE]  NA               ""          3 [CHRISTIANITY] ""          6 [NEVER MARRIED]                          NA               ""           NA                                                          NA             NA        NA      NA        NA NA             NA        NA NA        NA            NA

As an additional small note, at the top of the output, you will see something that says A tibble. A tibble is essentially just tidyverse’s version of a data frame. Base R uses data.frames and data.table uses data.tables. The tibble might sound strange, but it is nothing more than a data frame.

4 Basic wrangling: creating new variables and aggregating data

Now let’s start cleaning this data. We are going to create household-level demographic information about the household. This will include:

• Household size (total number of people in the household)
• Number of adult men (15+ years of age)
• Number of adult women (15+ years of age)
• Number of boys
• Number of girls
• The age of the household head

You could of course create many other variables, but this is a good starting point.⁵

To do this, we are going to use the mutate() function in conjunction with pipes (|>). The mutate() function is part of tidyverse (the dplyr package, specifically) and pipes allow us to chain functions together. Here, I am first going to create individual-level variables that define the different demographic variables we will need, using two variables in this module: age and gender. We can find the appropriate variables by looking through the data or, preferably, using the household questionnaire, since the latter option will always have the appropriate labels, as well (for example, the gender variable here is hh_b03, which equals 1 for MALE and 2 for FEMALE).

Here is the code, which I will explain below:

df <- df |>
  mutate(adultman = (hh_b03==1 & hh_b05a>=15),
    adultwoman = (hh_b03==2 & hh_b05a>=15),
    boy = (hh_b03==1 & hh_b05a<15),
    girl = (hh_b03==2 & hh_b05a<15))

The best way to read the pipe is as “and then.” Here, we take the df object and then we mutate() it. mutate() will create four new variables in this example (you can also use it to replace variables): adultman, adultwoman, boy, and girl. Each of these is defined as a logical variable (i.e. TRUE or FALSE) based on the conditions in the parentheses. For example, adultman is TRUE if and only if an individual is MALE with an age greater than or equal to 15. It is FALSE otherwise.

All four variables will be TRUE or FALSE, which we can see here:

df[, c("hh_b03", "hh_b05a", "adultman", "adultwoman", "boy", "girl")]

# A tibble: 50,476 × 6
   hh_b03     hh_b05a adultman adultwoman boy   girl 
   <dbl+lbl>    <dbl> <lgl>    <lgl>      <lgl> <lgl>
 1 1 [MALE]        41 TRUE     FALSE      FALSE FALSE
 2 2 [FEMALE]      34 FALSE    TRUE       FALSE FALSE
 3 1 [MALE]        11 FALSE    FALSE      TRUE  FALSE
 4 1 [MALE]         4 FALSE    FALSE      TRUE  FALSE
 5 2 [FEMALE]      55 FALSE    TRUE       FALSE FALSE
 6 1 [MALE]        18 TRUE     FALSE      FALSE FALSE
 7 1 [MALE]        13 FALSE    FALSE      TRUE  FALSE
 8 1 [MALE]        13 FALSE    FALSE      TRUE  FALSE
 9 2 [FEMALE]      25 FALSE    TRUE       FALSE FALSE
10 1 [MALE]         8 FALSE    FALSE      TRUE  FALSE
# ℹ 50,466 more rows

One nifty thing to keep in mind is that we can add together logical values in R. When we do this, R treats TRUE as 1 and FALSE as 0. So when we calculate household-level values for these, we can just sum them at the household level.

The last variable we need is the age of the household head. We are going to create a new variable, called headage, that as a valid value for the household head only; in other words, it will be missing for all other household members. We can do this by using the if_else() function. Here is the code:

df <- df |>
  mutate(headage = if_else(hh_b04==1, hh_b05a, NA))

This code uses similar syntax as before (with the pipe and the mutate() function), but is of course creating a different variable. When I first started using R, I almost never used the if_else() function, but I find myself using it more and more often. You can read the function on line 2 in the code snippet above as something like, “if hh_b04 equals 1, then headage equals hh_b05a; otherwise, headage equals NA.” Where does hh_b04 come from? The household questionnaire! It is the variable that defines each member’s relationship to the household head. We now have everything we need:

df[, c("adultman", "adultwoman", "boy", "girl", "headage")]

# A tibble: 50,476 × 5
   adultman adultwoman boy   girl  headage
   <lgl>    <lgl>      <lgl> <lgl>   <dbl>
 1 TRUE     FALSE      FALSE FALSE      41
 2 FALSE    TRUE       FALSE FALSE      NA
 3 FALSE    FALSE      TRUE  FALSE      NA
 4 FALSE    FALSE      TRUE  FALSE      NA
 5 FALSE    TRUE       FALSE FALSE      55
 6 TRUE     FALSE      FALSE FALSE      NA
 7 FALSE    FALSE      TRUE  FALSE      NA
 8 FALSE    FALSE      TRUE  FALSE      NA
 9 FALSE    TRUE       FALSE FALSE      25
10 FALSE    FALSE      TRUE  FALSE      NA
# ℹ 50,466 more rows

Now we need to aggregate these variables to the household level. For those of you who are familiar with Stata, this is similar to using the collapse command. We need to tell R the level at which we want to aggregate (in this case, the household level) and how we want to aggregate. How we aggregate depends on the individual variables. For example, we want to sum the individual demographics to get counts at the household level, but we do not need to do that for the head’s age, since there is only one non-missing value per household. We can use the group_by() and summarize() functions to do this. In this dataset, the relevant household identifier is case_id. Here is the code:

df <- df |>
  group_by(case_id) |>
  summarize(hhsize = n(),
    adultmen = sum(adultman),
    adultwomen = sum(adultwoman),
    boys = sum(boy),
    girls = sum(girl),
    headage = first(na.omit(headage))) |>
  ungroup()

The summarize() function is incredibly useful, especially when combined with group_by(). Here, we are telling R to group the data by case_id (the household identifier) and then to summarize the data to the level of case_id. The n() function counts the number of observations in the group, while sum() sums the values. The first() function gets the first value for each group, but importantly, we only want the first non-missing value; the na.omit(headage) function removes all missing values for headage, which in this case leaves us just the one value for each household that we defined above. Note that you could also use other summary functions for headage, which will give us the same result, since there is only one non-missing value per household. For example, this will yield the exact same results:

df <- df |>
  group_by(case_id) |>
  summarize(hhsize = n(),
    adultmen = sum(adultman),
    adultwomen = sum(adultwoman),
    boys = sum(boy),
    girls = sum(girl),
    headage = max(headage, na.rm = TRUE)) |>
  ungroup()

There is a very important point in this code, though: R, by default, does not ignore missing values. This means that if you summarize a variable that has missing values, the result will be NA. This is very different from how Stata does it, as Stata by default will ignore missing values. We need to explicitly tell R “hey, I know there are missings, that’s okay, please ignore them.” We do this by adding the na.rm = TRUE argument to the max() function. Most summary functions in R have this same argument, so keep that in mind when you are cleaning data.

A final, important note: I always add ungroup() after any function on grouped data. Why? Because if I am not careful, I might accidentally use the grouped data in a subsequent function, which can lead to unexpected results. Ungrouping makes sure that does not happen. I always specify group_by() and ungroup() in my code, even when not strictly necessary.⁶

Here is the final result of this code:

head(df)

# A tibble: 6 × 7
  case_id      hhsize adultmen adultwomen  boys girls headage
  <chr>         <int>    <int>      <int> <int> <int>   <dbl>
1 101011000014      4        1          1     2     0      41
2 101011000023      4        1          1     2     0      55
3 101011000040      4        0          1     2     1      25
4 101011000071      5        2          2     0     1      51
5 101011000095      5        1          1     2     1      33
6 101011000115      2        1          1     0     0      80

The original dataset had 50,476 while this final dataset we created has 11,434 rows. Why the reduction? Remember, the original data was at the individual level but the summarize() function collapsed the data to the same level as the variable specified in group_by(), in this case, the household.

5 Mutating several variables at once

Along with demographic information, we are also going to use household assets to predict household expenditures. The IHS5 has a module on household assets, which we will use. Looking through the household questionnaire, can you figure out which module we need to use?

In the IHS5, household assets are in Module L: Durable Goods. We could also clean variables like the walls of the house, the roof, floor, etc., but let’s just stick with durable goods for now. Let’s load the data and take a look at it:

assets <- read_dta("datawranglingfiles/HH_MOD_L.dta")
glimpse(assets)

Rows: 388,756
Columns: 9
$ case_id <chr> "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000014", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000023", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000040", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000071", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000095", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000115", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000126", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000135", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000183", "101011000190", "101011000190", "101011000190", "101011000190", "101011000190", "10101…
$ HHID    <chr> "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7d78f2c5da59436d9bde9b09ea8a8aaf", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "7144cc6d29b3485d9e6d6188b255c756", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "9936d103bf974a93afbc63d477b8b3f2", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "cc8f211413cd493e83e01a96aba95bbb", "e50cfa8d11b44d56891e0fad015b07c7", "e50cfa8d11b44d56891e0fad015b07c7", "e50cfa8d11b44…
$ hh_l01  <dbl+lbl> 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 1, 1, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 1, 1, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 1, 1, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 1, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 1, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 1, 1, 1, 2, 2, 2, 1, 1, 2, 2, 2, 1, 1, 2, 1, 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 2, 2, 2, 2, 1, 2, 1, 2, 1, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 1, 2, 2, 1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ hh_l02  <dbl+lbl>  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514,  515,  516,  517,  518,  519,  520,  521,  522,  523,  524,  525,  526,  527,  528,  529,  530,  531,  532,  533, 5081,  501,  502,  503,  504,  505,  506,  507,  508,  509,  510,  511,  512,  513,  514…
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$ hh_l06  <dbl+lbl> NA,  2,  2,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2,  2, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA,  2,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  1, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA,  2, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  1, NA, NA, NA, NA,  1, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA,  1, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  1, NA,  2,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2,  2,  2,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA,  2,  2,  2,  2, NA, NA, NA,  1,  2, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA,  2, NA,  2,  2, NA, NA,  1,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2,  2,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA,  2,  2,  2,  2, NA, NA,  1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2,  2,  2, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA,  2, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2,  2,  2, NA, NA, NA,  1, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA,  2, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA,  2,  2,  2,  2, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA,  2,  2, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA,  2, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2,  2,  2, NA, NA, NA, NA,  1, NA,  2, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA,  1,  1, NA, NA,  2,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2,  2, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA,  2,  2, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA,  2, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA,  2, NA,  2, NA,  2, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  1,  2, NA, NA, NA, NA, NA,  2,  2, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA,  2,  1, NA, NA, NA, NA, NA, NA,  1, NA, NA, NA, NA,  2,  2,  2,  2, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA,  2, NA, NA,  1,  2,  2, NA, NA, NA,  2,  2, NA, NA, NA,  2,  1, NA,  2, NA, NA, NA, NA, NA,  2,  2, NA, NA, NA, NA, NA,  2,  2, NA, NA,  2,  1,  2,  2,  2,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  1, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,  2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
$ hh_l07  <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 30000, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 3500, NA, NA, NA, NA, 3400, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 3000, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 7000, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 3000, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 12000, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 35000, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 8000, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 7000, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 120000, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 37000, 100000, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1300, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 5000, NA, NA, NA, NA, NA, NA, 10000, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 105000, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 350000, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 99000, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 45000, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…

The household questionnaire is quite important here. The asset module is on pages 51 and 52, and, there, we can see how the module is coded. Here are both pages of the module:

Figure 1: Assets - Module L

(a) Page 1

(b) Page 2

We are not going to clean ALL of the assets, so let’s just just clean the assets on page 1 (Figure 1 (a)). To create individual asset variables, we need to match the item code (hh_l02 in the questionnaire) to the item name (left column). Here is the code (ignoring item code 5801):

assets <- assets |>
  mutate(assetsmortar = if_else(hh_l02==501, hh_l03, NA),
    assetsbed = if_else(hh_l02==502, hh_l03, NA),
    assetstable = if_else(hh_l02==503, hh_l03, NA),
    assetschair = if_else(hh_l02==504, hh_l03, NA),
    assetsfan = if_else(hh_l02==505, hh_l03, NA),
    assetsac = if_else(hh_l02==506, hh_l03, NA),
    assetsradio = if_else(hh_l02==507, hh_l03, NA),
    assetscddvd = if_else(hh_l02==508, hh_l03, NA),
    assetstv = if_else(hh_l02==509, hh_l03, NA),
    assetsvcr = if_else(hh_l02==510, hh_l03, NA),
    assetssewing = if_else(hh_l02==511, hh_l03, NA),
    assetstradstove = if_else(hh_l02==512, hh_l03, NA),
    assetsmodernstove = if_else(hh_l02==513, hh_l03, NA),
    assetsfridge = if_else(hh_l02==514, hh_l03, NA),
    assetswashing = if_else(hh_l02==515, hh_l03, NA),
    assetsbike = if_else(hh_l02==516, hh_l03, NA)
  )

This code is similar to the code we used for the demographic variables. We are going to create new asset variables using if_else(), defining new names for each of the assets. Let’s now set all of the missing values to zero (since we are going to sum them, having them all as zero should work fine):

assets <- assets |>
  mutate(across(starts_with("assets"), ~replace_na(., 0)))

This is a nifty way to very quickly replace all missings with zeros. Here is the breakdown of the code:

• across() is a function that allows us to apply a function to multiple columns. The function we are going to use is replace_na(), which does exactly what it sounds like.
• replace_na() takes two arguments: the first is the variable we want to replace missings in, and the second is the value we want to replace them with. We use . to refer to all of the variables we selected with across().
• starts_with() does exactly what it sounds like, too: it selects all variables that start with the string in parentheses, in this case "assets". Note that it only works with “selecting” functions, of which across() is one.

Importantly, this module is not at the household level! Instead, it is at the household-asset level, which each observation being a different asset. Since we know all of the values are zero for the observations that do not pertain to a specific asset, we can simply take the sum across all of the observations to get our final dataset:

assets <- assets |>
  group_by(case_id) |>
  summarize(across(starts_with("assets"), sum)) |>
  ungroup()
head(assets)

# A tibble: 6 × 17
  case_id      assetsmortar assetsbed assetstable assetschair assetsfan assetsac assetsradio assetscddvd assetstv assetsvcr assetssewing assetstradstove assetsmodernstove assetsfridge assetswashing assetsbike
  <chr>               <dbl>     <dbl>       <dbl>       <dbl>     <dbl>    <dbl>       <dbl>       <dbl>    <dbl>     <dbl>        <dbl>           <dbl>             <dbl>        <dbl>         <dbl>      <dbl>
1 101011000014            0         1           1           3         0        0           0           0        0         0            0               0                 0            0             0          0
2 101011000023            0         0           1           0         0        0           0           0        0         0            0               0                 0            0             0          1
3 101011000040            0         0           0           0         0        0           1           0        0         0            0               0                 0            0             0          0
4 101011000071            1         1           0           0         0        0           1           0        0         0            0               0                 0            0             0          2
5 101011000095            1         0           1           0         0        0           0           0        0         0            0               0                 0            0             0          0
6 101011000115            2         0           0           1         0        0           0           0        0         0            0               0                 0            0             0          0

6 Reshaping data

I first introduced the above way of cleaning assets because I think it is more intuitive for people first transitioning to R (especially for those coming from Stata). However, it comes with a downside: there is quite a bit of duplication in the code! There is an alternative way to clean assets that is more efficient, but also requires reshaping the data. This is a common task in data wrangling, and it is worth learning how to do it, even if it is not quite as intuitive.

To do this, we are going to use pivot_wider() to reshape the data. The raw assets data is at the level of the household-asset; each household has multiple observations, one for each asset. With the right code, we can “reshape” the data so that those assets are turned into individual columns. Let’s start with the initial, raw data again:

assets <- read_dta("datawranglingfiles/HH_MOD_L.dta")
assets <- assets |>
  select(case_id, hh_l02, hh_l03) |>
  mutate(hh_l03 = ifelse(is.na(hh_l03), 0, hh_l03))

Note that I have also selected just the columns we will need here: the household identifier (case_id), the asset identifier (hh_l02), and the number of assets owned (hh_l03). Since a missing value for hh_l03 means that the household owns zero of that asset, I have also replaced all NA values with 0. I am going to take one more step before reshaping the data. The pivot_wider is going to create many new columns, each of which will have the same name as the asset identifier. However, note that the asset identifiers are numbers. I do not like having column names that start with numbers,⁷ so I am going to add a prefix to the asset identifiers, as follows;

assets <- assets |>
  mutate(hh_l02 = paste0("asset", hh_l02))

This code also shows one of R’s strengths: the function is vectorized and automatically repeats the “asset” part of the code for each observation. Now we are ready to reshape the data, using pivot_wider().

assets <- assets |>
  pivot_wider(names_from = hh_l02, values_from = hh_l03)
head(assets)

# A tibble: 6 × 35
  case_id      asset501 asset502 asset503 asset504 asset505 asset506 asset507 asset508 asset509 asset510 asset511 asset512 asset513 asset514 asset515 asset516 asset517 asset518 asset519 asset520 asset521 asset522 asset523 asset524 asset525 asset526 asset527 asset528 asset529 asset530 asset531 asset532 asset533 asset5081
  <chr>           <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>     <dbl>
1 101011000014        0        1        1        3        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0         0
2 101011000023        0        0        1        0        0        0        0        0        0        0        0        0        0        0        0        1        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0         0
3 101011000040        0        0        0        0        0        0        1        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0         0
4 101011000071        1        1        0        0        0        0        1        0        0        0        0        0        0        0        0        2        0        0        0        0        0        1        1        0        0        0        0        0        0        0        0        0        0         0
5 101011000095        1        0        1        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        1        0        0        0        0        0        0        0        0        1        0        0         0
6 101011000115        2        0        0        1        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0        0         0

Voilà! You can see what we’ve done here: we have taken the values from hh_l02 and turned them into columns, with the value taken from hh_l03. The downside, of course, is that the columns are not named after the assets but, instead, after the asset’s identifier. However, this seems like a small price to pay.⁸

As one last example, what happens if we want to reshape the data back to its original form? We can use pivot_longer() to do this. Here is the code:

assets <- assets |>
  pivot_longer(cols = !case_id, names_to = "hh_l02", values_to = "hh_l03")
assets$hh_l02 <- gsub("asset", "", assets$hh_l02)
head(assets)

# A tibble: 6 × 3
  case_id      hh_l02 hh_l03
  <chr>        <chr>   <dbl>
1 101011000014 501         0
2 101011000014 502         1
3 101011000014 503         1
4 101011000014 504         3
5 101011000014 505         0
6 101011000014 506         0

I have even added a line of code to remove the “asset” prefix from the asset identifiers. gsub() replaces the string in the first pair of quotation marks with the string in the second pair of quotation marks.

Now let’s get the final piece of the puzzle: expenditures per capita. Thankfully, this version of the IHS5 data already has an expenditure module that has been cleaned for us. The name of the relevant dataset is ihs5_consumption_aggregate.dta, which we now want to load:

exp <- read_dta("datawranglingfiles/ihs5_consumption_aggregate.dta")
glimpse(exp)

Rows: 11,434
Columns: 73
$ case_id      <chr> "101011000014", "101011000023", "101011000040", "101011000071", "101011000095", "101011000115", "101011000126", "101011000135", "101011000183", "101011000190", "101011000199", "101011000229", "101011000253", "101011000254", "101011000258", "101011000260", "101011010006", "101011010016", "101011010026", "101011010037", "101011010046", "101011010055", "101011010064", "101011010074", "101011010083", "101011010092", "101011010101", "101011010111", "101011010120", "101011010129", "101011010139", "101011010149", "101011020002", "101011020021", "101011020051", "101011020088", "101011020106", "101011020140", "101011020183", "101011020186", "101011020199", "101011020257", "101011020260", "101011020269", "101011020281", "101011020318", "101011020324", "101011020369", "101011030005", "101011030012", "101011030019", "101011030026", "101011030034", "101011030049", "101011030057", "101011030072", "101011030079", "101011030087", "101011030100", "101011030107", "101011030114", "101011030122", "101011030148", "101011030155", "101011040025", "101011040031", "101011040036", "101011040037", "101011040041", "101011040052", "101011040055", "101011040079", "101011040107", "101011040108", "101011040112", "101011040115", "101011040159", "101011040165", "101011040171", "101011040174", "101011050013", "101011050019", "101011050025", "101011050031", "101011050038", "101011050050", "101011050056", "101011050070", "101011050076", "101011050082", "101011050088", "101011050094", "101011050100", "101011050106", "101011050113", "101011050119", "101011060024", "101011060046", "101011060059", "101011060079", "101011060087", "101011060095", "101011060131", "101011060135", "101011060147", "101011060155", "101011060160", "101011060169", "101011060175", "101011060195", "101011060201", "101011060207", "101021070007", "101021070034", "101021070052", "101021070064", "101021070077", "101021070101", "101021070114", "101021070127", "101021070143", "101021070157", "101021070170", "101021070182", "101021070222", "101021070235", "101021070248", "101021070265", "101021080004", "101021080043", "101021080047", "101021080058", "101021080060", "101021080078", "101021080085", "101021080107", "101021080111", "101021080112", "101021080118", "101021080140", "101021080169", "101021080195", "101021080200", "101021080221", "101021090005", "101021090015", "101021090025", "101021090034", "101021090043", "101021090052", "101021090061", "101021090070", "101021090079", "101021090088", "101021090097", "101021090108", "101021090117", "101021090126", "101021090135", "101021090144", "101021100019", "101021100041", "101021100051", "101021100058", "101021100105", "101021100108", "101021100116", "101021100140", "101021100161", "101021100168", "101021100179", "101021100180", "101021100190", "101021100222", "101021100225", "101021100229", "101031110017", "101031110030", "101031110039", "101031110057", "101031110086", "101031110095", "101031110104", "101031110113", "101031110123", "101031110132", "101031110150", "101031110159", "101031110168", "101031110177", "101031110186", "101031110196", "101031120018", "101031120035", "101031120049", "101031120054", "101031120078", "101031120091", "101031120095", "101031120097", "101031120116", "101031120119", "101031120131", "101031120141", "101031120151", "101031120169", "101031120176", "101031120191", "101031130001", "101031130003", "101031130005", "101031130007", "101031130009", "101031130011", "101031130013", "101031130015", "101031130019", "101031130021", "101031130026", "101031130028", "101031130033", "101031130035", "101031130037", "101031130039", "101051140004", "101051140005", "101051140006", "101051140008", "101051140009", "101051140012", "101051140021", "101051140026", "101051140032", "101051140045", "101051140050", "101051140054", "101051140074", "101051140079", "101051140091", "101051140098", "101051150040", "101051150046", "101051150047", "101051150063", "101051150070", "101051150076", "101051150087", "101051150090", "101051150099", "101051150101", "101051150122", "101051150123", "101051150131", "101051150144", "101051150165", "101051150174", "101061160025", "101061160027", "101061160033", "101061160035", "101061160064", "101061160077", "101061160139", "101061160143", "101061160160", "101061160168", "101061160203", "101061160212", "101061160220", "101061160224", "101061160235", "101061160246", "101061170005", "101061170023", "101061170031", "101061170040", "101061170049", "101061170057", "101061170065", "101061170073", "101061170081", "101061170089", "101061170117", "101061170133", "101061170141", "101061170149", "101061170157", "101061170165", "101071180013", "101071180023", "101071180034", "101071180039", "101071180044", "101071180050", "101071180069", "101071180098", "101071180108", "101071180137", "101071180147", "101071180156", "101071180157", "101071180171", "101071180197", "101071180217", "101091190031", "101091190033", "101091190035", "101091190036", "101091190062", "101091190069", "101091190082", "…
$ HHID         <chr> "7d78f2c5da59436d9bde9b09ea8a8aaf", "7144cc6d29b3485d9e6d6188b255c756", "9936d103bf974a93afbc63d477b8b3f2", "cc8f211413cd493e83e01a96aba95bbb", "e50cfa8d11b44d56891e0fad015b07c7", "4c60971913ca49b4beb6def01a0b133f", "2fcb31f5f05349fca327dd2fa965b43a", "e676d3715e4340b4a4185fca13f23fba", "fd4b0adb712045789c7725af9d50301d", "cc43ef9ad8aa45c28c6b1ec1daf1effc", "09aa9c15d78e449ea768d2b546d7630f", "588862e09b294c19806cb1cea206b93f", "18895b09d1aa4f2fb29731eff2be86f6", "9d7546eefc334970b492a20ce6887403", "0e43e65824744e4e9d3399f674d95538", "f5624915b2ea42698c93f09e51d55660", "5845d8877c264a639aada480e64df344", "a32b7bf3a92240689cd1a5d1f522a140", "2d61398388e54acd9a37b9e331fa9ccd", "273878d185624e4aa08fbf10c88efa82", "6237f49f5a174df7884c1693808cbea3", "018388a980ac4a1e95269d79f85b0e7c", "ce16a1e2640047e3bf515d4bfc7b06f5", "a81c6b7867e148acab7667039d5256ad", "158e0fe582ac4aac9a7e3c8bca5e5ddf", "7dd94ab98be94ef7b026402b624547ed", "9af4fb6a33d04d21abecfcaec6e16811", "dedcd194d3d246c5b8ad29d075ae706a", "f4e49be9017546418526a3acf75c29ca", "8aa0db7b72c1478e880596ec8d69bacb", "c75267b00dec46509e1ccb468e14aea4", "287c0fcc56f44311a68f29ba8121ba2a", "3a3c53640cfd40719087b41f35b71019", "e3c81d2d54b14241b9e10e95f84da6a0", "14364fd838a74f2d9166bc0715e4b96d", "d28d50b33ee84f82a26e265fa2a743cf", "4aaf6a797ab04e7c88ab86dc1ad153ae", "ad98c2cdf217477f9abc57c60632f677", "6f7d332cc9df4fd9896e1ba8c9688848", "cdc58bdec76b49b1945457b654d293dc", "2d8108cd7f2646d99de1cf860182d6ab", "07a1ce1defcd4f21af47a3805d722165", "70bcaaf9541f4e3a9c10a2fe53283260", "8f9f50600e604b7197cf0da40e63657c", "d5b99d1324ef4ebaa234c07ee52e8cba", "ec0f6602b8fc4f53aa33b3e00aa235e5", "67bfde3922d6419e9c103caef4e8c418", "085341e9d8014d7d8bb1b566a646bf57", "cf9c2bfc06304fa79c8f46abb78c4cee", "65816a6fa1ab4fac876e795bcef13671", "dc51f83e4ce7480499f9434c8ecbb106", "65627b32b1624e04b6ea581400f5c9d6", "063cd4cc407f4c6094dde496d3206213", "b11618e4e0f64cf2aececcf3035ccb64", "43a227794ed84f7c9caed20739e7532c", "09d4515509cc4692badf3541dd10ed40", "45cb275b257944af892c562162b9cba9", "18383631de9947df8ba58a686c4bd394", "7d46f6450d174853a7834d4e9c2b4504", "1e677a9563644c1eb012e0c7df9b6410", "acf53d84d6d54aacbafc6476b583f480", "be90dc04442f43f9b7bf199a362813b1", "85990b04acfc4a94b4b8e6d7e27c499e", "045e6c0ec46c45ffa1cf157dae6c5941", "a29558f1ecd84741941e3aea56675071", "015bf2639fae45db9d8ddd6a181eaf89", "05503ca1c3544fcaa31d3d020e460b51", "19877062f12f464087073252923310dc", "493519f5d58042dd8e21c3967f4e8d5c", "7c6f187e305e4df8a7ac937a9fee6dfe", "4592359017f74c14964ae417da1c2066", "ac0165d0442c496abe0c5cd24ab73260", "52aa13b89db34794b1a23b05cba7b292", "8d7b180c5622498aade520441256fd2b", "16bdbb122cb84d95ac8ae34a170c3cf9", "555899f2271243c4bd2d9e3e522e9927", "d3409207b4734731a609925f3bd2ffcb", "883ad92343ca41d29d5c3c2325fa0f71", "ba80ea93057b4b60846a718aa75a7867", "b2a52469c16347649b88eecc350011a3", "1671aa69f4a044ccaf264bcef1391b54", "b666078d1f184d28ad111a5825a24ab7", "a4f8bd766a0e4b00b9a50f737a04ce8c", "9aa4b2841ab44cfe93571a2ed0d6f96a", "b70b56b5f5ab4fc5bf9c5b6f19b73fde", "a76b485c9a024344a99e402582352763", "f60b8992e8354284ada9bfb7defe795f", "42011087a5ae4f05a92b6c249e56cf73", "8eca03cc684d4e7492d62c50214ff35d", "d9dd2158d40947a8b0693b639c34292e", "9d9fd8fa62ee4173af242fd240315b9f", "ad560d97ed49428b99ec125e005e9d80", "15629dd5b0604709a224c05ee046ba7b", "708655c28dff4cb9a6dde701daf3f90c", "8fe866dceb36440cbeb8f3192a70bf3a", "e68a4ff4ffc24022926fdfa8786fca77", "e2dd9e289b9a4c5c8f37f8cf0e82088a", "ecc5b1642f60484b9f6cb9f8002a29e2", "6289fda67d28450eb6e516a910bf930c", "e7974bc4397b46079a5cfe9502bcfcf0", "330892a48b67444490da543b96a74bd7", "dd2bbdf52bb9469b9195e4f0e37e6372", "d18ae2ef2087438a9abcf791818c9702", "dd415f871ee34dfeb480dad92255e98a", "7b26d513c0144ff199f571721281257d", "08241cf6339d4495ab3fe62a061e88cb", "ae96ba8e42a5403dbb40fe782da5d270", "503c7ef920c54f01ae7e10e2d8287748", "6380440c471c4a5189c9239723bfb5f3", "2b77b25460f042ddb1ca43f9b807c108", "f9bf2018851b4a6884043d210c107944", "a483b4442e32483997ae2135c48e35dd", "66074e54e83141f3818bf0b8ff8db943", "e8a66a83c60949c9805d8ba16bd6d37e", "fe8c9af9c2c0481480a13c6c744c26d2", "5aaeba40e64e4787bfba0a6d1b412ad2", "840e2c34aa99482eae73b3f658bdb6e6", "432cad66f8324c5286fda05bedb1eb7e", "216e37d2fb3543899dbc939c264b5e29", "889214c3f2874c738f2113dfaa624c35", "9fc97057828144cfa18669d81d6a2b4c", "e7c0c392b4de4ba58b5f0fe5d724718c", "228f29072fc240dba87be21672c25be9", "cbedb68833024df59583648863d783c4", "f3ff9ae893fc42739d0f0a3938583eeb", "5fcaf15dca434438abcab8129cffda55", "842f42b716594e44b7d83ff2d1062654", "0916c8594af84c3d8302a783b9c0e17e", "d9c80af12d5048749dc709d507eb3189", "6b1baf65cd2f4deda957ac869e241898", "587a6543a0694576907752ff50581ef9", "4ab5ca6c1cbe4d67b31b20f8667ca8a1", "8cb9356dc8dc4c22993ac50bb3c303fb", "dfc4552a41584077882bcbfbd66bae9c", "16b4049444234703ad6191f7b6a349c8", "69ddb9cc474a40fdaf3c660dca3c62ae", "852218ee406747a7afed253996865bdb", "36fab87a64ae4deabcf7d2ca8ec44e43", "6bb3568e…
$ region       <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
$ district     <dbl+lbl> 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103, 103…
$ ea_id        <chr> "10101100", "10101100", "10101100", "10101100", "10101100", "10101100", "10101100", "10101100", "10101100", "10101100", "10101100", "10101100", "10101100", "10101100", "10101100", "10101100", "10101101", "10101101", "10101101", "10101101", "10101101", "10101101", "10101101", "10101101", "10101101", "10101101", "10101101", "10101101", "10101101", "10101101", "10101101", "10101101", "10101102", "10101102", "10101102", "10101102", "10101102", "10101102", "10101102", "10101102", "10101102", "10101102", "10101102", "10101102", "10101102", "10101102", "10101102", "10101102", "10101103", "10101103", "10101103", "10101103", "10101103", "10101103", "10101103", "10101103", "10101103", "10101103", "10101103", "10101103", "10101103", "10101103", "10101103", "10101103", "10101104", "10101104", "10101104", "10101104", "10101104", "10101104", "10101104", "10101104", "10101104", "10101104", "10101104", "10101104", "10101104", "10101104", "10101104", "10101104", "10101105", "10101105", "10101105", "10101105", "10101105", "10101105", "10101105", "10101105", "10101105", "10101105", "10101105", "10101105", "10101105", "10101105", "10101105", "10101105", "10101106", "10101106", "10101106", "10101106", "10101106", "10101106", "10101106", "10101106", "10101106", "10101106", "10101106", "10101106", "10101106", "10101106", "10101106", "10101106", "10102107", "10102107", "10102107", "10102107", "10102107", "10102107", "10102107", "10102107", "10102107", "10102107", "10102107", "10102107", "10102107", "10102107", "10102107", "10102107", "10102108", "10102108", "10102108", "10102108", "10102108", "10102108", "10102108", "10102108", "10102108", "10102108", "10102108", "10102108", "10102108", "10102108", "10102108", "10102108", "10102109", "10102109", "10102109", "10102109", "10102109", "10102109", "10102109", "10102109", "10102109", "10102109", "10102109", "10102109", "10102109", "10102109", "10102109", "10102109", "10102110", "10102110", "10102110", "10102110", "10102110", "10102110", "10102110", "10102110", "10102110", "10102110", "10102110", "10102110", "10102110", "10102110", "10102110", "10102110", "10103111", "10103111", "10103111", "10103111", "10103111", "10103111", "10103111", "10103111", "10103111", "10103111", "10103111", "10103111", "10103111", "10103111", "10103111", "10103111", "10103112", "10103112", "10103112", "10103112", "10103112", "10103112", "10103112", "10103112", "10103112", "10103112", "10103112", "10103112", "10103112", "10103112", "10103112", "10103112", "10103113", "10103113", "10103113", "10103113", "10103113", "10103113", "10103113", "10103113", "10103113", "10103113", "10103113", "10103113", "10103113", "10103113", "10103113", "10103113", "10105114", "10105114", "10105114", "10105114", "10105114", "10105114", "10105114", "10105114", "10105114", "10105114", "10105114", "10105114", "10105114", "10105114", "10105114", "10105114", "10105115", "10105115", "10105115", "10105115", "10105115", "10105115", "10105115", "10105115", "10105115", "10105115", "10105115", "10105115", "10105115", "10105115", "10105115", "10105115", "10106116", "10106116", "10106116", "10106116", "10106116", "10106116", "10106116", "10106116", "10106116", "10106116", "10106116", "10106116", "10106116", "10106116", "10106116", "10106116", "10106117", "10106117", "10106117", "10106117", "10106117", "10106117", "10106117", "10106117", "10106117", "10106117", "10106117", "10106117", "10106117", "10106117", "10106117", "10106117", "10107118", "10107118", "10107118", "10107118", "10107118", "10107118", "10107118", "10107118", "10107118", "10107118", "10107118", "10107118", "10107118", "10107118", "10107118", "10107118", "10109119", "10109119", "10109119", "10109119", "10109119", "10109119", "10109119", "10109119", "10109119", "10109119", "10109119", "10109119", "10109119", "10109119", "10109119", "10109119", "10109120", "10109120", "10109120", "10109120", "10109120", "10109120", "10109120", "10109120", "10109120", "10109120", "10109120", "10109120", "10109120", "10109120", "10109120", "10109120", "10109121", "10109121", "10109121", "10109121", "10109121", "10109121", "10109121", "10109121", "10109121", "10109121", "10109121", "10109121", "10109121", "10109121", "10109121", "10109121", "10120122", "10120122", "10120122", "10120122", "10120122", "10120122", "10120122", "10120122", "10120122", "10120122", "10120122", "10120122", "10120122", "10120122", "10120122", "10120122", "10120123", "10120123", "10120123", "10120123", "10120123", "10120123", "10120123", "10120123", "10120123", "10120123", "10120123", "10120123", "10120123", "10120123", "10120123", "10120123", "10201124", "10201124", "10201124", "10201124", "10201124", "10201124", "10201124", "10201124", "10201124", "10201124", "10201124", "10201124", "10201124", "10201124", "10201124", "10201124", "10201125", "10201125", "10201125", "10201125", "10201125", "10201125", "10201125", "10201125", "10201125", "10201125", "10201125", "10201125", "10201125", "10201125", "10201125…
$ TA           <dbl> 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10101, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10102, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10103, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10105, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10106, 10107, 10107, 10107, 10107, 10107, 10107, 10107, 10107, 10107, 10107, 10107, 10107, 10107, 10107, 10107, 10107, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10109, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10120, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10201, 10202, 10202, 10202, 10202, 10202, 10202, 10202, 10202, 10202, 10202, 10202, 10202, 10202, 10202, 10202, 10202, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10203, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10204, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10205, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, 10220, …
$ area         <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,…
$ urban        <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,…
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$ adulteq      <dbl> 3.47, 3.82, 2.67, 4.79, 4.31, 2.00, 2.47, 6.38, 3.75, 4.90, 2.91, 3.88, 5.01, 2.55, 4.70, 3.10, 5.74, 3.80, 6.46, 3.88, 2.73, 5.47, 2.63, 2.47, 4.90, 6.39, 7.59, 2.84, 2.70, 6.26, 2.33, 1.00, 2.47, 4.54, 2.00, 3.00, 4.46, 2.97, 3.42, 2.00, 3.70, 2.63, 6.27, 6.17, 2.73, 9.39, 6.75, 2.63, 1.00, 1.00, 2.47, 8.21, 4.00, 6.53, 4.90, 4.26, 3.31, 2.47, 5.17, 5.15, 1.00, 5.46, 3.02, 5.81, 3.97, 1.00, 6.60, 6.52, 5.88, 3.99, 4.07, 3.18, 2.88, 2.75, 2.88, 2.33, 2.70, 3.20, 2.47, 2.47, 4.87, 3.67, 5.18, 7.44, 3.75, 3.91, 6.01, 2.96, 5.17, 1.00, 4.43, 5.87, 3.28, 7.24, 6.98, 3.20, 5.73, 2.00, 6.19, 4.22, 2.79, 5.75, 4.84, 2.00, 4.16, 5.99, 2.47, 2.00, 3.75, 5.59, 3.00, 3.55, 2.79, 3.18, 1.91, 1.00, 1.91, 1.00, 2.00, 3.83, 2.00, 4.73, 2.47, 4.75, 2.97, 1.00, 2.00, 4.71, 3.20, 4.67, 3.28, 3.10, 2.00, 2.79, 6.80, 1.91, 4.18, 2.47, 3.54, 2.55, 4.60, 2.52, 3.91, 5.49, 3.99, 4.75, 2.47, 3.26, 2.47, 6.04, 3.36, 5.17, 3.97, 1.00, 2.47, 2.33, 6.74, 3.88, 4.91, 1.00, 4.05, 2.91, 3.36, 3.15, 3.89, 2.34, 3.91, 5.87, 4.21, 3.89, 2.00, 2.47, 3.10, 3.28, 4.34, 2.47, 1.00, 4.81, 1.00, 1.91, 5.20, 2.00, 4.00, 4.81, 2.33, 5.91, 1.00, 5.91, 2.55, 2.33, 2.79, 3.00, 1.00, 3.42, 2.00, 4.34, 8.46, 5.39, 3.91, 3.36, 5.44, 3.18, 3.88, 2.00, 2.44, 2.33, 4.84, 3.26, 5.43, 3.42, 2.96, 4.57, 5.33, 5.01, 3.10, 3.00, 3.20, 2.33, 3.60, 2.75, 4.90, 4.70, 6.43, 2.33, 5.76, 2.26, 4.27, 3.10, 6.36, 2.84, 3.91, 4.83, 2.47, 4.34, 2.33, 2.00, 2.55, 2.84, 3.26, 4.81, 6.60, 1.00, 6.82, 4.99, 4.39, 7.88, 1.00, 3.69, 1.00, 4.17, 8.35, 3.06, 4.26, 11.78, 5.43, 7.61, 7.70, 8.29, 8.88, 2.47, 3.66, 3.10, 2.96, 6.80, 3.89, 5.96, 1.63, 3.00, 3.43, 5.33, 3.83, 6.42, 4.70, 4.96, 1.91, 4.10, 3.70, 2.63, 2.00, 5.70, 3.34, 1.00, 2.63, 2.00, 1.00, 1.00, 3.84, 1.00, 6.24, 7.11, 4.61, 5.82, 4.76, 3.36, 2.55, 3.44, 4.30, 6.50, 8.49, 4.33, 4.51, 1.00, 5.97, 3.75, 1.00, 3.67, 3.20, 2.73, 4.73, 3.70, 1.00, 3.85, 2.00, 2.55, 3.81, 2.79, 4.75, 3.49, 2.00, 2.73, 4.43, 8.39, 3.81, 2.00, 2.47, 8.03, 6.45, 5.17, 7.51, 2.55, 1.00, 1.47, 5.45, 6.98, 4.53, 3.24, 3.10, 3.75, 3.20, 2.33, 4.75, 2.33, 5.43, 2.47, 6.49, 1.00, 2.00, 4.54, 4.83, 6.66, 4.70, 4.91, 3.00, 7.40, 4.49, 6.07, 2.00, 5.28, 1.00, 2.63, 2.00, 8.53, 3.07, 4.79, 4.26, 4.06, 5.61, 9.00, 5.11, 3.00, 5.15, 2.28, 5.06, 4.03, 2.47, 2.33, 7.32, 1.00, 3.73, 2.00, 6.04, 5.52, 4.70, 4.60, 4.83, 1.00, 3.97, 6.30, 5.01, 5.70, 3.00, 2.33, 7.71, 3.47, 6.72, 7.30, 4.66, 2.63, 1.00, 1.00, 6.11, 4.55, 2.33, 4.04, 2.70, 7.47, 3.00, 5.25, 3.28, 7.51, 2.33, 3.55, 4.17, 3.10, 2.33, 1.00, 3.55, 3.00, 2.96, 3.75, 3.84, 3.67, 3.42, 6.07, 7.17, 4.36, 4.26, 4.81, 6.44, 4.62, 7.37, 6.27, 2.97, 3.89, 3.89, 2.00, 6.28, 4.55, 2.00, 4.81, 10.07, 5.26, 7.37, 6.91, 5.73, 4.86, 3.60, 6.35, 5.15, 4.00, 3.63, 4.46, 2.47, 1.00, 3.91, 5.78, 4.68, 8.54, 2.00, 3.89, 5.94, 10.85, 3.00, 1.00, 2.47, 3.20, 5.80, 6.17, 6.87, 1.84, 3.10, 2.96, 2.47, 3.26, 1.00, 3.70, 2.96, 1.84, 2.00, 3.10, 4.62, 5.66, 3.85, 2.00, 5.06, 2.55, 4.91, 3.83, 2.97, 2.79, 6.54, 2.33, 4.26, 2.47, 3.20, 1.00, 4.32, 8.87, 2.96, 1.00, 3.10, 2.47, 3.10, 4.76, 7.80, 5.15, 2.33, 5.15, 5.82, 2.47, 8.03, 2.33, 5.30, 4.54, 5.88, 3.75, 3.00, 1.00, 4.84, 1.00, 4.73, 2.79, 6.24, 5.88, 2.00, 2.96, 1.00, 1.00, 4.44, 5.92, 3.73, 2.00, 6.74, 4.97, 5.23, 4.15, 1.00, 1.00, 1.00, 4.40, 2.00, 1.00, 2.00, 3.76, 5.12, 2.88, 3.89, 7.81, 3.89, 8.61, 4.68, 5.94, 3.88, 5.30, 2.33, 6.67, 4.61, 4.81, 2.00, 3.96, 3.85, 2.00, 1.84, 1.00, 4.48, 3.00, 3.72, 2.47, 6.30, 4.67, 3.20, 5.97, 1.00, 7.06, 4.52, 5.52, 3.63, 7.13, 3.63, 5.00, 5.65, 2.00, 6.27, 1.00, 11.61, 4.00, 3.99, 6.48, 2.55, 2.00, 4.13, 6.01, 4.86, 2.00, 2.00, 4.25, 6.15, 6.10, 2.73, 3.10, 3.88, 3.89, 1.00, 2.55, 1.91, 5.06, 8.63, 4.36, 2.47, 4.70, 1.00, 5.06, 2.97, 6.02, 1.00, 2.00, 2.97, 3.20, 6.24, 2.47, 7.71, 2.47, 4.97, 4.80, 3.28, 3.31, 1.00, 10.40, 5.27, 10.26, 3.52, 8.69, 3.97, 10.42, 3.89, 4.36, 4.26, 3.83, 2.47, 2.33, 8.12, 3.38, 4.81, 6.91, 3.00, 1.00, 5.79, 5.85, 4.72, 6.70, 3.36, 3.99, 1.00, 3.99, 5.26, 1.91, 3.81, 4.63, 3.42, 7.89, 2.91, 5.43, 6.85, 3.81, 6.98, 2.33, 6.53, 3.10, 2.84, 4.38, 2.00, 2.47, 3.48, 8.70, 3.10, 2.91, 3.81, 6.28, 8.64, 6.60, 8.24, 5.36, 4.73, 3.12, 4.94, 3.88, 3.02, 2.97, 4.84, 6.08, 3.10, 8.23, 2.47, 5.02, 7.54, 1.00, 3.42, 3.33, 2.79, 2.47, 3.42, 3.28, 2.97, 6.75, 3.10, 1.00, 2.47, 3.46, 2.00, 3.12, 1.84, 4.73, 2.63, 1.00, 3.00, 1.00, 3.75, 4.49, 3.90, 4.97, 3.33, 5.38, 3.00, 4.98, 1.00, 2.00, 5.95, 4.81, 3.47, 4.35, 1.00, 2.47, 2.00, 3.26, 1.00, 2.55, 4.64, 3.20, 6.68, 6.46, 2.33, 3.73, 2.84, 2.97, 3.47, 2.55, 1.00, 3.88, 4.81, 3.63, 1.00, 6.70, 4.64, 4.63, 3.72, 4.38, 2.47, 2.47, 4.95, 5.08, 2.00, 2.55, 4.00, 1.00, 3.97, 2.81, 6.34, 3.79, 2.75, 12.75, 8.96, 5.23, 3.34, 4.98, 2.00, 4.72, 3.88, 2.73, 3.99, 6.60, 7.17, 5.23, 3.36, 3.18, 5.14, 2.55, 2.33, 1.00, 2.00, 3.70, 2.00, 2.00, 2.00, 2.55, 1.79, 2.47, 5.72, 6.09, 2.84, 5.98, 2.33, 3.70, 2.33, 3.52, 4.23, 2.00, 1.00, 6.48, 3.81, 5.44, 3.00, 2.47, 5.26, 3.21, 2.33, 5.94, 3.76, 3.10, 5.60, 6.72, 4.73, 1.00, 2.00, 2.00, 5.31, 1.97, 3.58, 2.47, 8…
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$ rexp_cat011  <dbl> 200781.59, 366201.72, 240357.11, 1675397.12, 675342.81, 679204.19, 285656.91, 1145611.50, 492120.97, 324707.16, 180996.00, 508368.44, 653247.12, 431727.88, 1079612.25, 603199.94, 481081.34, 360880.66, 593772.00, 509189.44, 585941.12, 1368825.00, 487981.53, 453095.19, 935455.94, 1055286.12, 1120401.12, 542678.81, 639796.31, 580934.62, 548430.19, 452932.69, 241668.06, 423180.50, 1342537.50, 460849.06, 547194.94, 483152.91, 449079.88, 1045903.56, 623031.31, 610166.62, 539215.69, 543646.44, 924018.25, 1740831.62, 686152.62, 520530.84, 254182.75, 208637.22, 543811.12, 620767.06, 546740.94, 977038.50, 568560.94, 295975.22, 418211.19, 334907.47, 189709.03, 827256.56, 301817.53, 749783.19, 242211.66, 945308.12, 470835.03, 152392.41, 342263.19, 647938.25, 414529.78, 477104.12, 248777.38, 228547.67, 707559.50, 591384.56, 397485.16, 270389.44, 270428.31, 559368.06, 601795.06, 663213.69, 733723.00, 284240.69, 805889.38, 846281.62, 774408.19, 495940.28, 516698.09, 706804.00, 773701.31, 292430.69, 473247.38, 680081.81, 618950.88, 688230.38, 791362.44, 614853.25, 825499.44, 444462.09, 530276.31, 599909.75, 682871.00, 577832.88, 454739.38, 656663.94, 901906.69, 546636.06, 133347.08, 346682.66, 173478.78, 1787982.88, 715921.19, 952680.44, 491285.34, 564086.75, 200209.12, 225233.06, 509146.62, 223362.88, 255267.30, 795852.69, 799378.75, 618547.06, 1054202.12, 802807.81, 760366.56, 86772.20, 160632.19, 679614.00, 385677.81, 762805.38, 823892.62, 1031459.94, 341011.81, 383164.31, 597196.44, 97462.20, 515600.28, 644867.88, 533537.69, 369149.06, 279227.09, 101972.41, 790325.19, 1183275.00, 1258342.25, 1447320.88, 280068.41, 578917.06, 398597.44, 571347.06, 369167.56, 445999.88, 245743.22, 256713.19, 427616.09, 315690.47, 612400.19, 653701.12, 615603.44, 121154.93, 736371.94, 384947.72, 901275.12, 719536.56, 667240.62, 407277.34, 709430.94, 951848.62, 295532.69, 353451.94, 816282.88, 456056.22, 354225.06, 231750.45, 670229.88, 611480.44, 516535.78, 1847018.38, 290435.88, 271293.09, 403198.88, 599951.00, 782471.12, 672637.88, 499290.31, 730314.62, 534266.19, 444330.72, 397649.31, 435590.09, 415353.75, 559276.38, 1158260.12, 1459436.25, 127165.98, 452927.91, 787577.62, 587259.56, 659743.06, 271469.41, 966910.25, 879676.38, 612525.69, 449153.06, 230959.62, 341362.53, 706462.69, 777790.44, 499038.75, 599106.62, 525065.00, 410297.19, 963276.19, 722322.06, 484210.44, 289984.00, 825771.19, 705780.06, 970264.31, 533907.25, 166083.28, 563345.94, 462870.69, 143492.55, 461965.06, 532991.75, 125325.27, 174594.97, 422804.41, 464768.09, 378949.16, 525726.81, 360744.28, 300739.19, 448348.22, 255384.88, 365264.81, 186529.11, 493372.03, 498909.62, 1143043.12, 295948.56, 1340651.25, 470966.91, 608423.31, 911564.81, 98342.36, 255238.67, 201591.38, 793253.94, 1153876.25, 198479.05, 391256.28, 2248489.00, 946424.75, 631955.44, 648648.31, 1740977.75, 1007277.06, 866249.44, 164794.00, 388481.84, 240563.14, 1566143.00, 742728.75, 979869.06, 152466.31, 430942.81, 536193.06, 659145.00, 198194.55, 187031.20, 688017.81, 637180.88, 609441.25, 906398.31, 447076.56, 465966.72, 522481.12, 786326.12, 926272.25, 1116939.25, 397454.72, 240650.92, 536125.12, 434373.28, 675394.12, 327314.22, 625536.94, 1288850.62, 702976.75, 456071.09, 300773.31, 571496.75, 414331.41, 843184.00, 406001.19, 303040.25, 565336.38, 302106.81, 1342769.50, 206099.52, 799885.94, 570490.44, 289441.91, 721978.44, 503466.78, 318339.66, 930318.81, 507218.59, 296430.19, 713926.00, 130038.05, 1050233.25, 496720.38, 251230.88, 205485.72, 358180.12, 557963.06, 834848.38, 786205.12, 686871.88, 422211.53, 114975.12, 512054.47, 497992.66, 624934.06, 687198.88, 894873.38, 457478.88, 187686.64, 157442.12, 332357.69, 1001588.69, 1010267.12, 422728.78, 522230.53, 598424.94, 606934.50, 403374.53, 397590.84, 645218.81, 299444.19, 417586.91, 824398.31, 198192.66, 570404.00, 1098818.75, 545991.06, 499253.44, 628785.31, 740884.56, 247477.75, 694410.44, 1060967.75, 1025069.88, 311134.12, 894491.62, 159110.80, 791466.19, 109034.90, 541019.00, 527292.38, 1760158.62, 959960.12, 504857.31, 957998.38, 635374.12, 705894.25, 1138337.25, 772968.19, 474011.81, 661904.44, 799649.12, 506827.94, 452275.47, 1141440.00, 427025.44, 461293.31, 652226.94, 536279.50, 521787.00, 499019.53, 513694.12, 1919105.50, 625232.50, 804228.00, 1051283.62, 1055431.62, 991854.25, 498268.31, 551870.00, 1023232.88, 451398.44, 906432.25, 626892.75, 758877.75, 454693.34, 80785.36, 364294.66, 787634.06, 763235.69, 486766.34, 334504.66, 345616.53, 970945.12, 1030648.56, 888637.12, 548560.19, 1406728.25, 245853.11, 1037879.25, 606687.38, 228542.08, 400312.22, 238474.78, 728177.31, 293075.72, 461111.84, 269859.59, 424432.66, 783191.62, 1160835.12, 283016.38, 448728.00, 717472.81, 743189.81, 1079979.00, 1189002.88, 373743.28, 397426.66, 1009101.19, 803865.38, 760552.12, 1220233.88, 448285.44, 1029899.56, 946066.94, 274269.84, 647467.88, 1767611.88, 336003.38, 278450.16, 345807.47, 615166.00, 693867.06, 531303.81, 581949.44, 95…
$ rexp_cat101  <dbl> 4405.7441, 16154.3955, 2888.2102, 6168.0420, 12238.1787, 0.0000, 0.0000, 17622.9766, 2937.1628, 14979.5303, 4699.4604, 47484.1328, 13109.5371, 0.0000, 50910.8242, 0.0000, 17523.7734, 7496.8013, 24739.4434, 24364.6035, 4685.5005, 9839.5518, 0.0000, 0.0000, 10682.9414, 11676.2676, 35141.2539, 72906.3906, 10401.8115, 28394.1348, 0.0000, 0.0000, 0.0000, 35834.5742, 273366.6250, 98801.0391, 18941.1328, 44025.3359, 16115.3203, 0.0000, 14845.7520, 0.0000, 192175.7031, 32404.6934, 4607.3022, 337561.6875, 202465.3438, 0.0000, 0.0000, 0.0000, 0.0000, 28588.2969, 44844.3867, 32063.7383, 21600.0469, 15882.3877, 1868.5162, 0.0000, 16816.6465, 11771.6523, 0.0000, 19058.8652, 0.0000, 1445764.3750, 20560.1406, 0.0000, 84629.4531, 113570.2969, 22518.2480, 20560.1406, 7832.4346, 3691.0347, 0.0000, 17133.4492, 0.0000, 0.0000, 13041.0029, 4895.2715, 0.0000, 0.0000, 11156.8877, 13104.9150, 99836.4375, 392262.0000, 2656.4019, 3984.6028, 23464.8828, 0.0000, 30991.3535, 0.0000, 12396.5420, 42502.4297, 3099.1355, 17709.3457, 189490.0000, 3364.7756, 87129.2109, 0.0000, 18429.2090, 7781.2217, 5631.1475, 74535.9141, 4607.3022, 0.0000, 17917.2871, 12593.2930, 0.0000, 7474.0684, 0.0000, 19350.6699, 44537.2578, 6143.0698, 3667.2786, 8106.6157, 5790.4399, 0.0000, 13163.5996, 0.0000, 0.0000, 6272.9766, 12063.4160, 19784.0020, 0.0000, 66155.7734, 0.0000, 0.0000, 0.0000, 2798.7126, 1947.8286, 7742.6187, 6330.4429, 0.0000, 0.0000, 4869.5718, 32431.3477, 7304.3574, 12173.9287, 0.0000, 16556.5430, 0.0000, 17705.7617, 0.0000, 17238.2832, 10226.1006, 8411.9395, 144508.2500, 0.0000, 2700.6750, 0.0000, 25678.5508, 3187.6821, 13990.3828, 3497.5957, 0.0000, 0.0000, 0.0000, 52773.8477, 8411.9395, 17266.6113, 0.0000, 4414.7266, 6867.3521, 1177.2604, 7750.2974, 8338.9277, 3924.2012, 6867.3521, 113115.1016, 11576.3936, 3924.2012, 0.0000, 0.0000, 0.0000, 0.0000, 3924.2012, 0.0000, 0.0000, 98564.2266, 0.0000, 8595.1748, 18311.4590, 0.0000, 19619.4199, 83616.1016, 0.0000, 48581.4219, 0.0000, 51244.0547, 0.0000, 0.0000, 6352.9551, 42041.6133, 0.0000, 6425.2153, 52548.3750, 3439.9614, 160729.2344, 67613.0312, 373650.9688, 3756.2798, 19769.8926, 6019.9326, 120102.1016, 0.0000, 0.0000, 0.0000, 23822.7207, 3558.5808, 11511.0742, 3364.7756, 0.0000, 3276.2288, 178421.6562, 21251.2148, 0.0000, 0.0000, 1593.8411, 0.0000, 7969.2056, 10625.6074, 17709.3457, 11068.3408, 17178.0645, 0.0000, 69288.4766, 0.0000, 2296.3040, 0.0000, 7038.6709, 2995.1790, 3494.3755, 4592.6079, 0.0000, 11581.3594, 0.0000, 0.0000, 0.0000, 3694.0542, 3095.0183, 6190.0366, 233611.2344, 0.0000, 823548.5000, 2288.9324, 16583.0820, 165830.8125, 0.0000, 1027.6838, 0.0000, 95761.4531, 425087.4375, 280.2774, 10743.9678, 1841516.1250, 75020.9219, 268132.0625, 122381.7891, 158998.4219, 278834.6562, 0.0000, 3818.3118, 0.0000, 0.0000, 40630.7539, 7342.9072, 17133.4492, 0.0000, 0.0000, 0.0000, 18504.1270, 2447.6357, 20070.6133, 23022.1484, 26918.2051, 10625.6074, 0.0000, 51976.9297, 0.0000, 0.0000, 141851.8594, 4870.0698, 0.0000, 0.0000, 121486.1094, 0.0000, 0.0000, 9917.2334, 0.0000, 78324.1406, 0.0000, 12490.9092, 2559.6125, 7474.0684, 0.0000, 0.0000, 5119.2251, 5938.3008, 46687.3320, 176142.2969, 0.0000, 0.0000, 0.0000, 155163.7031, 3992.9954, 0.0000, 13655.7871, 0.0000, 6755.5132, 15441.1729, 11677.3867, 0.0000, 13993.5625, 0.0000, 0.0000, 8396.1377, 122081.7734, 8685.6602, 13993.5625, 0.0000, 0.0000, 17506.1094, 35645.2656, 20452.2012, 0.0000, 0.0000, 20744.3750, 10031.3174, 24250.4668, 31457.4336, 0.0000, 0.0000, 0.0000, 18309.5898, 2921.7429, 10615.6660, 2921.7429, 0.0000, 1903.7546, 3231.9556, 0.0000, 29220.4199, 0.0000, 7083.7383, 0.0000, 85447.5938, 0.0000, 0.0000, 9474.5000, 15495.6768, 32231.0078, 19923.0137, 10625.6074, 0.0000, 25282.8203, 164009.3750, 141546.2031, 0.0000, 17857.7539, 0.0000, 0.0000, 0.0000, 61938.2109, 7988.9956, 23027.1055, 7190.0962, 8458.9365, 141922.1562, 101084.2891, 20508.0508, 1557907.6250, 17867.5293, 6117.2080, 5985.1821, 15975.1553, 0.0000, 0.0000, 111782.0781, 0.0000, 90217.8203, 0.0000, 74110.6328, 32038.3262, 68037.4375, 86873.1562, 11367.6885, 0.0000, 8501.0537, 5140.1724, 16191.5430, 42999.5195, 43493.7656, 0.0000, 24109.3848, 0.0000, 111798.7500, 56344.1953, 3657.4302, 0.0000, 0.0000, 0.0000, 6995.1914, 26829.6582, 0.0000, 4781.5234, 4391.9175, 9102.6035, 11953.8076, 19923.0137, 2656.4019, 40731.4922, 2266.7961, 0.0000, 9164.5859, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 5041.8848, 24959.8262, 16373.6455, 1247.9912, 28454.2012, 14277.0205, 3494.3755, 10682.8057, 14526.6182, 19368.8242, 7388.1084, 137578.5625, 16473.4844, 0.0000, 6726.6582, 7941.1938, 25692.0977, 58391.1289, 0.0000, 0.0000, 16723.2207, 13079.6133, 45311.5156, 179377.5469, 15415.2588, 105944.8672, 11678.2266, 6820.0840, 28775.1484, 20658.0449, 50739.4883, 11259.1240, 8028.2451, 0.0000, 0.0000, 529178.8750, 32602.5078, 10573.7861, 290191.6875, 0.0000, 22028.7207, 22028.7207, 74016.5078, 0.0000, 0.0000, 0.0000, 4984.3301, 18921.9922, 21691.0645, 19383.5059, 7199.5874,…
$ rexp_cat061  <dbl> 1272.7706, 2545.5413, 0.0000, 0.0000, 0.0000, 1272.7706, 0.0000, 31819.2637, 44546.9688, 0.0000, 0.0000, 0.0000, 0.0000, 6363.8530, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 12182.3018, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1330.9985, 0.0000, 0.0000, 0.0000, 0.0000, 15971.9814, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 50577.9414, 0.0000, 0.0000, 0.0000, 3036.3389, 0.0000, 3643.6064, 3643.6064, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3036.3389, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 8909.3945, 15273.2471, 50910.8242, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 19091.5586, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 23022.1484, 0.0000, 0.0000, 0.0000, 0.0000, 59894.9297, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 6654.9922, 0.0000, 3992.9954, 0.0000, 0.0000, 9316.9893, 15971.9814, 0.0000, 0.0000, 0.0000, 0.0000, 12545.9531, 0.0000, 0.0000, 11291.3574, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 25091.9062, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1266.0886, 0.0000, 0.0000, 1266.0886, 0.0000, 0.0000, 0.0000, 0.0000, 3798.2659, 0.0000, 4431.3101, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1151.1074, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2295.6577, 0.0000, 0.0000, 0.0000, 0.0000, 6376.8271, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2429.0710, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 6072.6777, 0.0000, 2429.0710, 0.0000, 0.0000, 2570.0862, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 10280.3447, 0.0000, 0.0000, 0.0000, 6425.2153, 0.0000, 5140.1724, 6425.2153, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 575.5537, 17266.6113, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 5755.5371, 0.0000, 23022.1484, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 6489.5547, 4542.6880, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2429.0710, 3643.6064, 2429.0710, 0.0000, 0.0000, 2429.0710, 0.0000, 0.0000, 0.0000, 1214.5355, 2429.0710, 0.0000, 0.0000, 0.0000, 636.3853, 25455.4121, 0.0000, 3818.3118, 0.0000, 12727.7061, 3818.3118, 31819.2637, 0.0000, 0.0000, 0.0000, 2545.5413, 0.0000, 0.0000, 0.0000, 0.0000, 4604.4297, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 5755.5371, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 166374.8125, 21295.9766, 19964.9766, 6654.9922, 0.0000, 4658.4946, 6654.9922, 3992.9954, 0.0000, 0.0000, 0.0000, 35936.9570, 66549.9219, 0.0000, 7985.9907, 7453.5913, 0.0000, 0.0000, 0.0000, 3763.7859, 37637.8594, 0.0000, 0.0000, 0.0000, 2509.1907, 0.0000, 3763.7859, 6272.9766, 0.0000, 22582.7148, 0.0000, 0.0000, 25321.7715, 6330.4429, 7596.5317, 2532.1772, 0.0000, 0.0000, 0.0000, 1266.0886, 0.0000, 0.0000, 0.0000, 1899.1329, 0.0000, 0.0000, 3798.2659, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 5755.5371, 5755.5371, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 4887.3853, 0.0000, 0.0000, 3432.6780, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 572.1130, 0.0000, 0.0000, 0.0000, 0.0000, 6425.2153, 0.0000, 0.0000, 0.0000, 6425.2153, 0.0000, 0.0000, 2570.0862, 2570.0862, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3453.3223, 3453.3223, 0.0000, 0.0000, 5755.5371, 26475.4707, 0.0000, 3453.3223, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2595.8218, 3244.7773, 0.0000, 2595.8218, 12979.1094, 0.0000, 27256.1289, 42182.1055, 3893.7327, 6489.5547, 19468.6641, 14925.9756, 0.0000, 18170.7520, 0.0000, 0.0000, 0.0000, 0.0000, 6072.6777, 13359.8906, 0.0000, 0.0000, 0.0000, 1214.5355, 0.0000, 0.0000, 0.0000, 24290.7109, 0.0000, 0.0000, 607.2678, 0.0000, 0.0000, 2545.5413, 25455.4121, 1272.7706, 6363.8530, 6363.8530, 3818.3118, 0.0000, 0.0000, 2545.5413, 82730.0859, 25455.4121, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1199.9313, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 5999.6562, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 6654.9922, 11978.9863, 3992.9954, 3992.9954, 0.0000, 0.0000, 0.0000, 6654.9922, 0.0000, 13309.9844, 6272.9766, 0.0000, 0.0000, 2509.1907, 0.0000, 0.0000, 25091.9062, 18818.9297, 0.0000, 0.0000, 0.0000, 0.0000, 627.2977, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 6330.4429, 0.0000, 0.0000, 2570.0862, 0.0000, 0.0000, 0.0000, 1285.0431, 0.0000, 0.0000, 2570.0862, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 9208.8594, 0.0000, 1275.3654, 5101.4614, 25507.3086, 0.0000, 892.7558, 0.0000, 10202.9229, 10202.9229, 1275.3654, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 892.7558, …
$ rexp_cat062  <dbl> 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 37267.95703, 0.00000, 0.00000, 0.00000, 3327.49609, 0.00000, 0.00000, 17302.98047, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 14000.47656, 114.54935, 44546.96875, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 12727.70605, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 3992.99536, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 627.29767, 0.00000, 100.36762, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 7710.25830, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 642.52155, 0.00000, 0.00000, 15420.51660, 0.00000, 0.00000, 0.00000, 379.86545, 0.00000, 0.00000, 0.00000, 0.00000, 115110.74219, 28777.68555, 51799.83594, 0.00000, 0.00000, 32231.00781, 109355.20312, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 1297.91089, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 2302.21484, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 72181.07031, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 10750.37207, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 2509.19067, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 37982.66016, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 30546.16016, 0.00000, 0.00000, 0.00000, 6109.23193, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 77102.58594, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 41121.37891, 0.00000, 0.00000, 32126.07617, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 29153.07617, 0.00000, 739.80920, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 85.01749, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 6072.67773, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 63638.52734, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 511.92249, 0.00000, 0.00000, 0.00000, 0.00000, 19964.97656, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 991.13031, 25091.90625, 138005.48438, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 19275.64648, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 51799.83594, 0.00000, 0.00000, 0.00000, …
$ rexp_cat063  <dbl> 0.0000, 2937.1628, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 4895.2715, 0.0000, 0.0000, 0.0000, 0.0000, 979.0543, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2661.9971, 0.0000, 13309.9844, 0.0000, 0.0000, 0.0000, 4607.3022, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 69109.5391, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 28027.7422, 0.0000, 0.0000, 0.0000, 0.0000, 6539.8066, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 6853.3799, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 49586.1680, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 26564.0176, 13309.9844, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 5119.2251, 0.0000, 0.0000, 14333.8301, 0.0000, 0.0000, 0.0000, 0.0000, 4095.3799, 0.0000, 0.0000, 0.0000, 10615.8066, 0.0000, 5790.4399, 0.0000, 0.0000, 4825.3667, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 26564.0176, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 7848.4023, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3953.9788, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 14167.4766, 0.0000, 0.0000, 0.0000, 0.0000, 51799.8359, 0.0000, 0.0000, 1996.7860, 0.0000, 0.0000, 0.0000, 0.0000, 998.3930, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 27093.4844, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 91122.2031, 0.0000, 16381.5195, 0.0000, 29077.1973, 0.0000, 0.0000, 12798.0625, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 9214.6045, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 13511.0264, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 28196.4551, 24436.9277, 0.0000, 0.0000, 0.0000, 37595.2734, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 54513.1445, 0.0000, 0.0000, 4400.8691, 0.0000, 0.0000, 0.0000, 0.0000, 880.1738, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2200.4346, 0.0000, 0.0000, 18781.3984, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 25700.8613, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 5990.3579, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 13977.5020, 8985.5371, 20966.2539, 0.0000, 0.0000, 20966.2539, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 5605.5483, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 8321.9619, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 8321.9619, 34756.4258, 8811.4883, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 20264.1406, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 30105.8867, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 10791.5537, 0.0000, 0.0000, 28940.9844, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2055.3677, 0.0000, 0.0000, 14013.8711, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 16310.1621, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.…
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$ rexp_cat093  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ rexp_cat031  <dbl> 0.0000, 19581.0859, 0.0000, 42295.1445, 0.0000, 0.0000, 46994.6055, 11748.6514, 0.0000, 0.0000, 0.0000, 0.0000, 19581.0859, 11748.6514, 13706.7598, 37204.0625, 4498.0806, 0.0000, 0.0000, 0.0000, 28113.0039, 22490.4043, 0.0000, 36359.4844, 0.0000, 0.0000, 11245.2021, 13119.4023, 0.0000, 1499.3602, 0.0000, 9371.0010, 52420.8633, 38906.1094, 114670.6406, 0.0000, 4095.3799, 0.0000, 0.0000, 102384.5000, 0.0000, 0.0000, 0.0000, 6143.0698, 53239.9375, 12286.1396, 0.0000, 14743.3682, 13453.3164, 0.0000, 1121.1097, 0.0000, 0.0000, 71003.6172, 78477.6797, 0.0000, 5605.5483, 60913.6289, 5605.5483, 0.0000, 5605.5483, 5605.5483, 0.0000, 130796.1328, 0.0000, 0.0000, 4699.4604, 0.0000, 23497.3027, 0.0000, 0.0000, 45428.1211, 7832.4346, 0.0000, 0.0000, 0.0000, 19581.0859, 0.0000, 56785.1484, 0.0000, 22667.9629, 0.0000, 0.0000, 0.0000, 17709.3457, 0.0000, 0.0000, 63753.6445, 0.0000, 0.0000, 0.0000, 0.0000, 2833.4954, 0.0000, 8854.6729, 17709.3457, 1433.3829, 0.0000, 0.0000, 14333.8301, 26619.9688, 0.0000, 0.0000, 0.0000, 0.0000, 11876.6016, 0.0000, 17200.5957, 3276.3040, 4914.4561, 0.0000, 90098.3594, 0.0000, 100367.6250, 0.0000, 0.0000, 49411.7539, 0.0000, 0.0000, 5790.4399, 9650.7334, 0.0000, 38602.9336, 0.0000, 59834.5430, 0.0000, 0.0000, 106158.0625, 0.0000, 33892.2188, 28827.8633, 261788.1719, 13634.8008, 0.0000, 101676.6562, 0.0000, 120765.3750, 0.0000, 25321.7715, 0.0000, 0.0000, 0.0000, 11686.9717, 0.0000, 109797.9375, 28334.9531, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 10625.6074, 10625.6074, 8146.2988, 708.3738, 12396.5420, 0.0000, 0.0000, 0.0000, 39242.0117, 35317.8125, 25507.3086, 0.0000, 11772.6035, 16874.0645, 19621.0059, 0.0000, 0.0000, 0.0000, 43951.0547, 0.0000, 0.0000, 0.0000, 0.0000, 33633.2930, 9342.5811, 0.0000, 0.0000, 59045.1094, 21301.0840, 0.0000, 0.0000, 0.0000, 84083.2266, 25038.1172, 11211.0967, 5605.5483, 57924.0000, 0.0000, 55355.6992, 5930.9678, 0.0000, 74334.7969, 25305.4629, 5930.9678, 63263.6602, 55355.6992, 47447.7422, 29654.8398, 19769.8926, 0.0000, 25700.8613, 63263.6602, 43493.7656, 1976.9894, 17709.3457, 0.0000, 46044.2969, 0.0000, 49586.1680, 17709.3457, 1770.9346, 0.0000, 46044.2969, 54898.9688, 58440.8398, 0.0000, 0.0000, 0.0000, 0.0000, 3541.8691, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 4392.9292, 0.0000, 11980.7158, 0.0000, 29951.7910, 22364.0039, 31948.5762, 0.0000, 7987.1440, 0.0000, 351281.0312, 0.0000, 0.0000, 0.0000, 0.0000, 28027.7422, 747.4065, 20553.6777, 7474.0649, 59792.5195, 0.0000, 3737.0325, 10837.3936, 222353.4219, 9342.5811, 29896.2598, 1566.4868, 14881.6250, 5091.0825, 1958.1086, 0.0000, 5091.0825, 10573.7861, 5874.3257, 94772.4531, 102604.8906, 0.0000, 5874.3257, 23497.3027, 0.0000, 24280.5469, 0.0000, 0.0000, 708.3738, 0.0000, 170009.7188, 0.0000, 0.0000, 61628.5234, 0.0000, 5312.8037, 10625.6074, 0.0000, 8854.6729, 0.0000, 4250.2427, 0.0000, 0.0000, 49144.5586, 0.0000, 36858.4180, 0.0000, 0.0000, 14333.8301, 2661.9971, 72078.6875, 28667.6602, 0.0000, 0.0000, 52830.4023, 83955.2891, 0.0000, 22115.0508, 14129.0605, 0.0000, 0.0000, 104227.9141, 0.0000, 11580.8799, 5790.4399, 0.0000, 64466.8984, 0.0000, 5790.4399, 71415.4219, 0.0000, 5790.4399, 0.0000, 18143.3789, 67555.1328, 89600.1172, 65057.4766, 15582.6289, 0.0000, 52591.3750, 19478.2871, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 44800.0586, 7791.3145, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 54898.9688, 0.0000, 0.0000, 0.0000, 33647.7578, 42502.4297, 0.0000, 0.0000, 12396.5420, 0.0000, 10625.6074, 0.0000, 0.0000, 86469.1250, 80829.8359, 11278.5820, 0.0000, 0.0000, 75190.5469, 0.0000, 45114.3281, 0.0000, 16917.8730, 13158.3457, 0.0000, 0.0000, 0.0000, 80975.9922, 0.0000, 0.0000, 8801.7383, 0.0000, 76399.0859, 12146.3984, 0.0000, 24644.8672, 21124.1719, 0.0000, 40487.9961, 1760.3477, 0.0000, 70413.9062, 24644.8672, 61286.6680, 43493.7656, 51401.7227, 43493.7656, 50215.5273, 106757.4219, 0.0000, 94895.4844, 30050.2383, 0.0000, 19769.8926, 0.0000, 33608.8203, 15815.9150, 0.0000, 0.0000, 885.4673, 0.0000, 19480.2793, 0.0000, 0.0000, 60211.7734, 152300.3750, 38960.5586, 24793.0840, 17709.3457, 24793.0840, 8854.6729, 0.0000, 0.0000, 0.0000, 0.0000, 65893.9375, 0.0000, 62699.0820, 0.0000, 0.0000, 43929.2930, 11980.7158, 1996.7860, 0.0000, 0.0000, 50319.0078, 87858.5859, 0.0000, 0.0000, 23562.0742, 0.0000, 0.0000, 0.0000, 0.0000, 5605.5483, 37370.3242, 0.0000, 9342.5811, 20553.6777, 0.0000, 37370.3242, 6352.9551, 0.0000, 67266.5859, 65398.0664, 29896.2598, 47834.0156, 62659.4766, 0.0000, 9790.5430, 29371.6289, 0.0000, 0.0000, 0.0000, 39162.1719, 0.0000, 78324.3438, 0.0000, 3524.5955, 17622.9766, 134326.2500, 39162.1719, 39162.1719, 0.0000, 60919.5859, 0.0000, 0.0000, 11076.2891, 0.0000, 0.0000, 71626.6641, 38767.0117, 0.0000, 0.0000, 0.0000, 0.0000, 16614.4336, 0.0000, 0.0000, 0.0000, 0.0000, 8190.7598, 0.0000, 0.0000, 0.0000, 0.0000, 22524.5898, 34810.7305, 13514.7539, 0.0000, 38906.1094, 0.0000, 6143.0698, 34810.7305, 0.0000, 0.0000, 27794.111…
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$ rexp_cat052  <dbl> 1762.298, 8811.488, 1468.581, 2447.636, 0.000, 0.000, 5874.326, 11748.651, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 11748.651, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 6559.701, 4216.951, 0.000, 0.000, 0.000, 0.000, 6559.701, 0.000, 0.000, 0.000, 0.000, 0.000, 6143.070, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 3071.535, 0.000, 7166.915, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 1401.387, 0.000, 0.000, 3737.032, 3737.032, 0.000, 2335.645, 0.000, 0.000, 23356.453, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 5874.326, 7832.435, 0.000, 1958.109, 0.000, 0.000, 0.000, 6853.380, 5874.326, 0.000, 4427.336, 8854.673, 0.000, 8854.673, 10625.607, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 3099.135, 1535.767, 0.000, 1535.767, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 12286.140, 0.000, 0.000, 0.000, 0.000, 0.000, 1535.767, 5307.903, 6272.977, 0.000, 0.000, 0.000, 2895.220, 0.000, 4632.352, 14476.100, 0.000, 1447.610, 23161.760, 30399.809, 0.000, 0.000, 5790.440, 0.000, 0.000, 4869.572, 19478.287, 0.000, 0.000, 5843.486, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 8854.673, 16381.145, 0.000, 0.000, 0.000, 0.000, 5312.804, 0.000, 1328.201, 0.000, 0.000, 0.000, 10625.607, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 5690.092, 5886.302, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 14013.871, 0.000, 7474.065, 0.000, 0.000, 0.000, 29429.129, 0.000, 1401.387, 1401.387, 0.000, 0.000, 18781.398, 0.000, 4942.473, 2471.237, 0.000, 7413.710, 7907.958, 0.000, 4942.473, 0.000, 5930.968, 0.000, 0.000, 6919.462, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 10625.607, 15052.943, 7969.206, 0.000, 9740.140, 15938.411, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 6988.751, 14975.896, 0.000, 0.000, 0.000, 0.000, 29429.129, 2802.774, 0.000, 3737.032, 0.000, 0.000, 0.000, 0.000, 0.000, 21487.936, 3363.329, 1401.387, 11211.097, 26159.227, 0.000, 14948.130, 0.000, 0.000, 0.000, 4895.271, 0.000, 0.000, 0.000, 0.000, 4503.650, 4405.744, 0.000, 0.000, 0.000, 6853.380, 3916.217, 0.000, 0.000, 0.000, 0.000, 1328.201, 0.000, 0.000, 27892.219, 0.000, 0.000, 0.000, 0.000, 2656.402, 0.000, 0.000, 0.000, 4427.336, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 5119.225, 25596.125, 25596.125, 0.000, 0.000, 5119.225, 25596.125, 0.000, 0.000, 2047.690, 0.000, 28952.199, 4825.367, 0.000, 28952.199, 4342.830, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 20266.539, 0.000, 9739.144, 0.000, 0.000, 4869.572, 4869.572, 0.000, 0.000, 0.000, 4869.572, 0.000, 0.000, 0.000, 24347.857, 0.000, 4090.440, 0.000, 0.000, 4427.336, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 10625.607, 0.000, 0.000, 0.000, 0.000, 0.000, 5755.537, 0.000, 0.000, 0.000, 8458.937, 0.000, 4699.409, 0.000, 23497.045, 0.000, 0.000, 0.000, 0.000, 7519.055, 0.000, 0.000, 9868.759, 5281.043, 0.000, 0.000, 0.000, 17603.477, 0.000, 0.000, 0.000, 15843.129, 2640.521, 8801.738, 27725.475, 0.000, 5281.043, 27725.475, 0.000, 4942.473, 13838.925, 11861.936, 2965.484, 17792.904, 21746.883, 0.000, 0.000, 1482.742, 0.000, 9884.946, 0.000, 11861.936, 0.000, 0.000, 8896.452, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 27892.219, 0.000, 0.000, 0.000, 0.000, 0.000, 1948.028, 0.000, 2656.402, 0.000, 14975.896, 0.000, 4991.965, 0.000, 2495.982, 14975.896, 0.000, 0.000, 0.000, 3993.572, 0.000, 14975.896, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 7474.065, 6539.807, 0.000, 29371.629, 0.000, 8321.962, 5874.326, 0.000, 9790.543, 0.000, 0.000, 0.000, 3916.217, 0.000, 0.000, 1468.581, 17622.977, 0.000, 30840.211, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 4615.120, 0.000, 23998.625, 0.000, 7678.837, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 1535.767, 0.000, 0.000, 0.000, 0.000, 0.000, 9650.733, 7720.586, 0.000, 0.000, 0.000, 0.000, 8203.123, 30399.809, 3377.757, 0.000, 0.000, 0.000, 2895.220, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 1482.742, 0.000, 0.000, 0.000, 0.000, 1460.871, 0.000, 24712.367, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 3099.135, 0.000, 4427.336, 0.000, 13282.009, 0.000, 0.000, 0.000, 0.000, 6867.352, 0.000, 0.000, 0.000, 0.000, 0.000, 4905.251, 0.000, 4905.251, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 9884.946, 0.000, 0.000, 0.000, 0.000, 31137.582, 0.000, 0.000, 0.000, 0.000, 0.000, 31137.582, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 2769.072, 2656.402, 0.000, 3099.135, 4427.336, 0.000, 29075.258, 0.000, 0.000, 0.000, 31449.381, 0.000, 0.000, 24959.826, 0.000, 0.000, 0.000, 6988.751, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 4825.367…
$ rexp_cat092  <dbl> 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0…
$ rexp_cat071  <dbl> 0.0000, 3230.2925, 0.0000, 7258.9219, 0.0000, 0.0000, 4141.1890, 3024.5505, 2425.1882, 0.0000, 0.0000, 0.0000, 17133.4492, 0.0000, 7342.9072, 0.0000, 0.0000, 6060.3525, 0.0000, 4624.3535, 4637.8037, 4642.5298, 2576.5576, 0.0000, 16399.2520, 0.0000, 0.0000, 0.0000, 6869.2959, 3076.2114, 5668.4268, 0.0000, 3550.5933, 8661.2881, 7217.7397, 4153.5068, 0.0000, 4330.6440, 5881.6943, 3941.0876, 142226.3906, 2887.0959, 7678.8374, 0.0000, 5076.5083, 116848.5156, 5579.5039, 0.0000, 2300.1614, 0.0000, 0.0000, 8875.4521, 5651.2354, 6349.5601, 10274.9736, 0.0000, 0.0000, 0.0000, 2107.5789, 4671.2905, 0.0000, 17750.9043, 0.0000, 13800.9688, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3089.1787, 0.0000, 5521.5850, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3829.6108, 158209.1094, 50910.9297, 0.0000, 0.0000, 6017.9600, 0.0000, 0.0000, 0.0000, 0.0000, 3633.3960, 0.0000, 10712.2090, 6540.1128, 0.0000, 3550.5933, 3043.3657, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 4020.9443, 0.0000, 0.0000, 0.0000, 7562.1787, 3360.9680, 0.0000, 7074.3496, 3480.0745, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 4082.0522, 3915.0835, 8906.8066, 0.0000, 0.0000, 0.0000, 0.0000, 12596.8691, 4408.9043, 2894.9475, 17583.8359, 0.0000, 0.0000, 5843.4858, 0.0000, 2406.9377, 7873.0435, 4795.5918, 3432.8733, 4119.4478, 0.0000, 0.0000, 13962.5303, 4825.4062, 101462.7500, 0.0000, 3745.3359, 1596.5067, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 15938.4111, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 344460.4062, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2049.6060, 6522.8804, 0.0000, 0.0000, 0.0000, 0.0000, 5574.8262, 0.0000, 0.0000, 0.0000, 0.0000, 2787.4131, 3664.4573, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3895.3486, 0.0000, 90776.3281, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 75888.6250, 0.0000, 15979.7451, 0.0000, 0.0000, 40181.9961, 0.0000, 0.0000, 0.0000, 0.0000, 2947.8347, 1975.8552, 83007.8203, 151441.1875, 5195.0942, 3082.4919, 0.0000, 8651.3359, 0.0000, 46505.0781, 0.0000, 2910.2261, 0.0000, 12238.1787, 4845.4390, 3213.9341, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3895.3486, 3282.5237, 0.0000, 7993.4712, 0.0000, 0.0000, 0.0000, 26564.0176, 0.0000, 0.0000, 2632.0398, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 19571.1484, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 5060.6733, 0.0000, 0.0000, 15357.6748, 1126.0250, 7505.1680, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 7580.2612, 0.0000, 0.0000, 0.0000, 0.0000, 37110.8711, 0.0000, 65958.2500, 0.0000, 0.0000, 0.0000, 1788.8159, 0.0000, 0.0000, 58063.7773, 4806.0225, 0.0000, 11635.4424, 0.0000, 4869.5718, 0.0000, 1316.9833, 9739.1436, 5355.5562, 0.0000, 0.0000, 11782.2246, 6981.2651, 10614.8076, 13962.5303, 0.0000, 6866.4487, 1676.3320, 3592.1399, 4993.7812, 0.0000, 0.0000, 4369.5581, 5086.7544, 0.0000, 0.0000, 0.0000, 4870.0698, 0.0000, 4923.7852, 0.0000, 0.0000, 30076.2188, 8594.4697, 5168.4116, 6387.7812, 2776.8086, 0.0000, 5685.2529, 0.0000, 0.0000, 2584.2058, 3617.8882, 0.0000, 0.0000, 2322.8296, 0.0000, 5438.1670, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 72732.7891, 0.0000, 0.0000, 66100.4375, 0.0000, 0.0000, 6501.0151, 0.0000, 6088.0220, 0.0000, 0.0000, 0.0000, 0.0000, 3484.2664, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 9563.1074, 0.0000, 0.0000, 0.0000, 10941.7451, 7896.1187, 1460.7557, 0.0000, 0.0000, 5618.0034, 3193.0134, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3462.3284, 0.0000, 0.0000, 0.0000, 1647.0494, 1080.0677, 0.0000, 0.0000, 0.0000, 2196.0659, 12337.1719, 3150.1975, 0.0000, 1800.1129, 1851.3799, 5605.5483, 3702.7598, 0.0000, 49111.3281, 3463.3965, 0.0000, 0.0000, 7006.9355, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 4839.2812, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 5980.6963, 0.0000, 5521.5850, 0.0000, 0.0000, 24476.3574, 5335.4141, 4307.0566, 0.0000, 0.0000, 5481.7671, 0.0000, 94597.2344, 0.0000, 0.0000, 0.0000, 8953.9805, 4160.5547, 0.0000, 0.0000, 15787.5967, 1371.8384, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2536.1379, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3603.2800, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 4173.9038, 2041.0261, 0.0000, 0.0000, 0.0000, 956.2225, 0.0000, 4082.0522, 0.0000, 4245.5518, 11529.8174, 1360.6841, 0.0000, 3401.7102, 1044.0222, 1630.7201, 0.0000, 3996.3267, 0.0000, 0.0000, 4892.1606, 0.0000, 0.0000, 0.0000, 2329.2681, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 11068.3408, 702508.7500, 3311.0464, 0.0000, 0.0000, 4993.7812, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1872.6680, 0.00…
$ rexp_cat041  <dbl> 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 307153.50, 0.00, 49144.56, 0.00, 0.00, 0.00, 0.00, 61430.70, 0.00, 61430.70, 196578.23, 0.00, 0.00, 0.00, 0.00, 0.00, 33633.29, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 70491.91, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 49144.56, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 59309.68, 94895.48, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 35585.81, 0.00, 47447.74, 0.00, 47447.74, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 33633.29, 0.00, 16816.65, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 127507.29, 0.00, 37189.62, 0.00, 0.00, 31876.82, 31876.82, 0.00, 0.00, 0.00, 0.00, 31876.82, 191260.92, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 24572.28, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 45114.33, 0.00, 0.00, 67671.49, 39475.04, 0.00, 0.00, 67671.49, 39475.04, 0.00, 0.00, 0.00, 112785.82, 0.00, 0.00, 56392.91, 132026.08, 0.00, 0.00, 36967.30, 105620.86, 0.00, 84496.69, 42248.34, 0.00, 52810.43, 0.00, 0.00, 52810.43, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 23497.30, 22152.58, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 26564.02, 0.00, 0.00, 42502.43, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 35585.81, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 221525.77, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 352459.53, 176229.77, 0.00, 234973.03, 352459.53, 46994.61, 0.00, 117486.52, 0.00, 0.00, 176229.77, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 38767.01, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 52903.55, 47613.19, 0.00, 0.00, 42322.84, 63484.25, 37032.48, 0.00, 0.00, 37032.48, 42322.84, 0.00, 65825.86, 54854.88, 54854.88, 87767.81, 76796.84, 76796.84, 0.00, 54854.88, 38398.42, 54854.88, 0.00, 65825.86, 0.00, 43883.91, 0.00, 76796.84, 102561.11, 0.00, 61536.67, 0.00, 35896.39, 71792.78, 256402.78, 0.00, 0.00, 0.00, 51280.55, 0.00, 0.00, 51280.55, 0.00, 102561.11, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 39475.04, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 35896.39, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, …
$ rexp_cat042  <dbl> 23498.980, 35245.953, 25108.727, 37784.656, 58743.258, 44022.184, 17181.607, 46264.164, 58743.258, 35245.953, 29371.629, 58743.258, 58743.258, 32075.066, 40453.656, 58743.258, 33735.605, 22490.404, 33735.605, 51121.227, 56226.008, 56226.008, 56226.008, 22490.404, 37666.578, 33320.938, 28285.855, 78716.414, 50603.406, 30283.904, 44980.809, 17591.510, 122861.398, 122861.398, 0.000, 49144.559, 0.000, 28798.152, 53078.117, 164822.641, 59515.348, 0.000, 245722.797, 0.000, 0.000, 368584.188, 104432.188, 37012.324, 24896.074, 22422.193, 0.000, 33633.293, 67266.586, 168166.453, 56055.484, 22422.193, 33633.293, 44844.387, 33633.293, 112110.969, 16816.646, 33550.332, 20745.029, 47556.477, 58743.258, 58743.258, 35245.953, 49263.824, 58743.258, 0.000, 35245.953, 32951.238, 58743.258, 58743.258, 50315.535, 23497.303, 29371.629, 35245.953, 35245.953, 46994.605, 10625.607, 15938.411, 53128.035, 85004.859, 53128.035, 63753.645, 53128.035, 63753.645, 42502.430, 15938.411, 53128.035, 19843.713, 17508.824, 53128.035, 106256.070, 63753.645, 64989.762, 0.000, 18429.209, 80833.188, 80833.188, 60701.977, 122861.398, 49217.859, 68618.586, 36858.418, 32316.455, 18429.209, 24572.279, 60701.977, 61430.699, 93836.031, 46323.520, 173713.188, 57904.398, 23161.760, 31058.596, 23161.760, 28952.199, 34742.641, 29416.094, 57904.398, 58495.504, 57904.398, 50772.121, 23161.760, 17371.320, 27475.312, 58434.859, 58434.859, 31430.004, 49303.660, 58434.859, 35060.914, 23373.943, 58434.859, 81808.805, 17530.457, 49303.660, 116869.719, 17530.457, 11686.972, 58434.859, 89028.531, 53128.035, 53128.035, 42502.430, 53128.035, 53128.035, 22119.279, 15938.411, 50706.820, 32324.502, 42502.430, 63753.645, 15939.526, 32324.502, 37189.625, 23681.723, 53128.035, 58863.020, 23545.207, 123344.695, 23545.207, 35317.812, 11772.604, 58863.020, 58863.020, 58863.020, 26750.225, 23545.207, 28482.338, 23545.207, 58863.020, 58863.020, 23545.207, 16816.646, 56055.484, 28027.742, 22422.193, 31510.588, 16756.873, 33633.293, 82945.578, 56055.484, 112110.969, 336332.906, 49430.066, 16816.646, 33633.293, 38413.918, 22422.193, 0.000, 0.000, 29654.840, 38942.402, 51182.527, 59309.680, 59309.680, 47447.742, 59309.680, 32780.117, 59309.680, 0.000, 35585.809, 0.000, 142343.234, 0.000, 42502.430, 21251.215, 31876.822, 50296.863, 36075.980, 53128.035, 37189.625, 37189.625, 63753.645, 63753.645, 53128.035, 21251.215, 15938.411, 31876.822, 21251.215, 26564.018, 47922.863, 35942.148, 17971.074, 15830.613, 20432.221, 71569.219, 22709.928, 11574.774, 9983.930, 17971.074, 23944.318, 23961.432, 11980.716, 59903.582, 35942.148, 59903.582, 63994.109, 56055.484, 168166.453, 11211.097, 0.000, 112572.352, 0.000, 11211.097, 11211.097, 143057.656, 168166.453, 20966.127, 112110.969, 247831.750, 33633.293, 56055.484, 65851.531, 23497.303, 25855.584, 48952.715, 23497.303, 16921.508, 21948.594, 40453.656, 58743.258, 25855.584, 42712.422, 117486.516, 16921.508, 117486.516, 17946.707, 58743.258, 0.000, 106256.070, 0.000, 79537.539, 26564.018, 0.000, 0.000, 142470.891, 51657.785, 53128.035, 53128.035, 0.000, 0.000, 53128.035, 85004.859, 26564.018, 27506.314, 51387.848, 12286.140, 14273.383, 21007.201, 27506.314, 19807.172, 0.000, 55781.355, 18513.752, 69379.844, 61430.699, 27370.492, 20918.609, 122861.398, 21809.322, 17371.320, 11580.880, 34742.641, 19388.764, 57904.398, 17371.320, 57904.398, 57904.398, 23161.760, 34742.641, 42737.859, 27475.312, 57904.398, 23161.760, 29416.094, 48311.629, 35060.914, 54865.938, 23373.943, 17530.457, 18257.260, 58434.859, 33650.129, 46747.887, 58434.859, 23373.943, 15888.655, 58434.859, 58434.859, 58434.859, 29217.430, 35060.914, 53128.035, 53128.035, 21251.215, 15938.411, 53128.035, 13359.034, 22997.658, 10625.607, 106256.070, 26564.018, 53128.035, 32324.502, 22119.279, 18776.875, 85004.859, 42502.430, 0.000, 63158.504, 143883.656, 0.000, 0.000, 56392.910, 45114.328, 0.000, 0.000, 45114.328, 45114.328, 112785.820, 0.000, 55107.004, 112785.820, 0.000, 0.000, 316862.562, 84496.688, 0.000, 0.000, 105620.859, 0.000, 0.000, 73934.602, 0.000, 52810.430, 158431.281, 0.000, 52810.430, 105620.859, 158431.281, 35585.809, 23723.871, 35585.809, 23723.871, 35585.809, 59309.680, 59309.680, 29654.840, 11861.936, 71171.617, 23723.871, 59309.680, 35585.809, 23723.871, 17792.904, 11861.936, 21251.215, 51121.871, 26564.018, 53128.035, 15938.411, 53128.035, 159384.109, 106256.070, 42502.430, 95630.461, 10625.607, 63753.645, 53128.035, 21251.215, 21251.215, 26716.643, 39832.258, 59903.582, 24853.336, 11980.716, 39832.258, 29951.791, 59903.582, 25134.998, 17971.074, 95845.727, 9983.930, 59903.582, 59175.699, 11980.716, 17971.074, 23961.432, 22422.193, 48294.785, 33240.875, 56055.484, 39238.840, 48294.785, 78477.680, 11211.097, 56891.598, 22422.193, 56055.484, 33633.293, 46128.367, 67266.586, 30257.635, 48294.785, 22478.219, 58743.258, 26479.502, 23497.303, 51529.664, 45584.621, 26479.502, 82240.562, 46994.605, 60702.309, 58743.258, 23497.303, 68042.445, 111887.711, 60…
$ rexp_cat012  <dbl> 29697.9805, 84851.3750, 0.0000, 46244.0000, 0.0000, 25455.4121, 42425.6875, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 46668.2578, 29697.9805, 106064.2188, 55153.3945, 0.0000, 0.0000, 10964.0713, 0.0000, 0.0000, 97458.4141, 2436.4604, 97458.4141, 2436.4604, 0.0000, 24364.6035, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 26619.9688, 113933.4688, 776.4158, 18633.9785, 776.4158, 32942.2109, 11646.2373, 0.0000, 53239.9375, 53239.9375, 53239.9375, 85183.9062, 327203.8125, 231593.7344, 11646.2373, 97162.8438, 9716.2842, 0.0000, 0.0000, 0.0000, 6940.2026, 3470.1013, 0.0000, 24290.7109, 3470.1013, 0.0000, 0.0000, 9716.2842, 9716.2842, 0.0000, 50663.4805, 84851.3750, 8485.1377, 0.0000, 0.0000, 0.0000, 0.0000, 42425.6875, 0.0000, 269827.3750, 0.0000, 14000.4766, 11454.9355, 0.0000, 15273.2471, 4242.5688, 0.0000, 1611.5504, 0.0000, 0.0000, 43281.6406, 43281.6406, 4604.4297, 0.0000, 0.0000, 0.0000, 0.0000, 46044.2969, 16115.5039, 16115.5039, 0.0000, 0.0000, 1611.5504, 63887.9258, 10647.9883, 106479.8750, 106479.8750, 0.0000, 0.0000, 0.0000, 10647.9883, 10647.9883, 106479.8750, 15971.9824, 0.0000, 0.0000, 138091.0938, 75534.1641, 53239.9375, 85312.4766, 25091.9062, 0.0000, 0.0000, 0.0000, 0.0000, 12545.9531, 60220.5742, 0.0000, 25091.9062, 62729.7656, 25091.9062, 150551.4375, 10036.7627, 0.0000, 12545.9531, 5064.3545, 20257.4180, 129141.0391, 162059.3438, 27853.9492, 0.0000, 134205.3906, 101287.0859, 101287.0859, 53175.7227, 75965.3203, 10128.7090, 0.0000, 0.0000, 55707.8984, 2532.1772, 16115.5039, 200292.6875, 2302.2148, 4604.4297, 0.0000, 2302.2148, 0.0000, 92088.5938, 92088.5938, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1913.0481, 0.0000, 7652.1924, 53565.3477, 30608.7695, 10202.9229, 51014.6172, 71420.4609, 10202.9229, 51014.6172, 51014.6172, 0.0000, 10202.9229, 10202.9229, 10202.9229, 0.0000, 24290.7109, 121453.5547, 12839.3760, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 48581.4219, 145744.2656, 9716.2842, 0.0000, 0.0000, 0.0000, 242907.1094, 51401.7227, 35659.9453, 0.0000, 2056.0688, 113083.7891, 55513.8594, 128504.3047, 5654.1895, 102803.4453, 59111.9805, 113083.7891, 0.0000, 0.0000, 28270.9473, 102674.9375, 10280.3447, 4604.4297, 2302.2148, 0.0000, 0.0000, 46044.2969, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 207665.7500, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 51916.4375, 45167.3008, 3634.1506, 0.0000, 0.0000, 0.0000, 0.0000, 6940.2026, 272055.9688, 971.6284, 0.0000, 0.0000, 3470.1013, 4858.1421, 0.0000, 0.0000, 66799.4531, 16656.4863, 0.0000, 0.0000, 287093.0625, 13880.4053, 0.0000, 84851.3750, 238432.3594, 68729.6094, 0.0000, 0.0000, 50062.3125, 0.0000, 182430.4531, 11030.6787, 0.0000, 0.0000, 8485.1377, 24606.8984, 84851.3750, 0.0000, 84851.3750, 3223.1008, 0.0000, 0.0000, 79963.5938, 0.0000, 59166.9219, 1611.5504, 24173.2578, 16115.5039, 39137.6523, 18417.7188, 4604.4297, 0.0000, 16115.5039, 0.0000, 0.0000, 106479.8750, 165043.8125, 8190.7603, 0.0000, 0.0000, 0.0000, 0.0000, 284833.6875, 53239.9375, 0.0000, 212959.7500, 0.0000, 119789.8594, 0.0000, 106479.8750, 53239.9375, 6272.9766, 6272.9766, 106640.6016, 0.0000, 100367.6250, 0.0000, 10036.7627, 0.0000, 0.0000, 12545.9531, 18818.9297, 10036.7627, 0.0000, 0.0000, 10036.7627, 6272.9766, 55707.8984, 101287.0859, 0.0000, 0.0000, 50643.5430, 129141.0391, 101287.0859, 0.0000, 101287.0859, 0.0000, 30386.1270, 0.0000, 0.0000, 40514.8359, 45579.1875, 0.0000, 4604.4297, 9208.8594, 4604.4297, 4604.4297, 92088.5938, 0.0000, 0.0000, 0.0000, 138132.8906, 1611.5504, 46044.2969, 3223.1008, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 60603.5781, 42764.6211, 24436.9277, 12218.4639, 30546.1602, 34211.6992, 10019.1406, 0.0000, 102635.0938, 29324.3125, 24436.9277, 0.0000, 0.0000, 6109.2319, 29324.3125, 6538.4341, 83201.5703, 40865.2109, 66038.1797, 1961.5302, 53615.1641, 12423.0244, 653.8434, 3269.2170, 58192.0664, 15692.2412, 3269.2170, 0.0000, 204435.0312, 1307.6868, 1307.6868, 25700.8613, 34696.1641, 5140.1724, 42834.7656, 0.0000, 15420.5166, 0.0000, 34310.6484, 0.0000, 0.0000, 15420.5166, 0.0000, 5140.1724, 7196.2412, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 23022.1484, 11511.0742, 0.0000, 69066.4453, 2302.2148, 0.0000, 0.0000, 0.0000, 23022.1484, 0.0000, 41533.1484, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3634.1506, 0.0000, 0.0000, 25958.2188, 15574.9316, 2076.6575, 0.0000, 0.0000, 0.0000, 10383.2871, 0.0000, 6801.3989, 100563.5391, 0.0000, 0.0000, 680.1399, 9716.2842, 0.0000, 22347.4531, 0.0000, 0.0000, 0.0000, 0.0000, 12145.3555, 0.0000, 0.0000, 12727.7061, 61092.9883, 2969.7981, 2349.7305, 2545.5413, 53456.3633, 38183.1172, 15273.2471, 0.0000, 0.0000, 0.0000, 0.0000, 109458.2734, 12727.7061, 16121.7617, 64911.3008, 0.0000, 14039.1963, 0.0000, 10559.3955, 9599.4502, 0.0000, 0.0000, 48397.2266, 0.0000, 1679.9038, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3726.7957, 0.000…
$ rexp_cat045  <dbl> 25435.830, 53417.203, 52398.984, 50871.660, 129137.258, 52398.984, 52398.984, 53926.309, 69963.477, 52398.984, 42224.652, 101743.320, 33105.875, 77834.820, 121011.109, 154142.312, 97383.445, 54388.090, 98845.320, 48691.723, 76803.195, 124165.766, 86966.477, 25807.738, 65810.922, 48691.723, 29218.783, 26782.322, 27588.771, 24345.861, 50153.598, 75474.047, 52789.449, 122206.141, 88050.672, 34585.484, 106438.922, 55881.461, 82501.430, 118666.609, 54796.184, 58359.164, 277666.750, 190762.797, 249367.688, 140638.031, 240992.625, 71853.438, 1457.443, 48544.051, 50991.805, 31555.502, 36409.906, 218130.578, 74273.516, 145632.156, 74273.516, 26984.172, 78208.797, 75245.148, 151535.875, 99517.172, 72853.445, 59400.129, 101743.320, 50871.660, 25435.830, 30522.996, 52398.984, 152614.984, 27981.371, 26963.154, 64637.164, 80464.547, 58806.855, 101743.320, 25435.830, 50871.660, 29388.609, 47575.133, 38648.875, 23004.439, 79302.445, 148393.938, 96533.641, 72997.922, 92017.758, 29136.943, 23004.439, 23004.439, 71315.531, 71775.977, 102906.039, 69013.320, 34072.781, 53978.086, 212795.938, 28196.691, 63838.781, 137197.172, 94907.805, 34581.387, 57627.859, 53198.984, 87821.328, 47879.086, 55860.980, 37247.480, 28196.691, 87300.836, 191561.391, 45303.375, 60174.250, 146277.562, 75217.812, 40116.168, 29741.941, 27581.795, 77765.609, 52654.398, 32596.316, 110037.656, 137928.281, 81405.617, 111008.828, 25072.604, 25072.604, 52654.398, 129043.648, 128030.773, 58753.945, 81350.078, 26821.600, 26821.600, 77426.188, 126511.469, 36618.410, 58201.121, 111045.711, 137860.844, 52123.895, 40483.672, 78439.062, 39007.012, 71315.531, 138854.438, 48562.402, 49972.805, 46008.879, 92017.758, 33587.543, 46008.879, 36807.102, 23004.439, 23004.439, 25306.654, 23004.439, 115022.195, 119877.938, 25306.654, 50975.375, 33135.957, 44571.078, 42310.738, 43038.047, 42310.738, 79013.789, 50975.375, 68143.758, 27018.125, 53526.105, 50975.375, 40780.301, 254876.875, 76463.062, 52505.812, 48544.051, 140605.844, 29130.168, 242720.250, 48544.051, 26701.096, 52589.656, 62191.691, 26701.096, 121697.492, 82177.344, 63492.180, 145632.156, 75245.148, 26701.096, 48544.051, 104839.742, 32975.832, 25681.092, 48562.766, 102724.367, 267091.250, 30838.953, 27223.143, 79613.359, 133849.438, 151556.000, 27223.143, 27223.143, 145411.516, 177454.562, 181349.234, 96622.188, 71315.531, 46008.879, 47594.449, 118986.133, 118261.141, 117324.414, 69013.320, 33769.449, 28115.533, 39180.402, 23004.439, 23004.439, 43448.109, 39109.316, 23004.439, 33725.715, 51876.500, 25938.250, 53433.992, 0.000, 25938.250, 106348.820, 77814.750, 27495.744, 25938.250, 31814.520, 28534.072, 27495.744, 25938.250, 28534.072, 33721.723, 195894.219, 12145.355, 100096.414, 25729.467, 65547.547, 80675.055, 26701.096, 24272.025, 25729.467, 76571.789, 178349.875, 72816.078, 99517.172, 349748.844, 82554.781, 110875.359, 101743.320, 126585.148, 52398.984, 86685.469, 25435.830, 254358.312, 27981.371, 114079.406, 53417.203, 53115.242, 27981.371, 25435.830, 101743.320, 57160.102, 27981.371, 53417.203, 89432.195, 44255.652, 25306.654, 70394.648, 153256.672, 93434.508, 47390.207, 92584.461, 48311.094, 48346.512, 70394.648, 0.000, 85004.859, 71315.531, 49568.457, 71315.531, 34585.484, 84833.219, 53198.984, 53198.984, 29261.490, 54796.184, 58522.980, 45221.184, 178149.031, 79798.477, 57294.367, 45221.184, 90763.672, 2661.997, 53198.984, 30858.688, 52654.398, 52654.398, 34793.266, 27581.795, 127872.211, 25072.604, 140406.578, 134352.656, 25072.604, 26578.119, 32596.316, 27581.795, 127872.211, 55163.590, 27581.795, 270124.031, 35138.828, 57083.531, 53136.766, 0.000, 42002.977, 131965.391, 75906.883, 2532.177, 68318.141, 29800.484, 50604.590, 78439.062, 61030.301, 102728.484, 68396.320, 128030.773, 50267.977, 81225.352, 48923.930, 46008.879, 94131.672, 69013.320, 69013.320, 69013.320, 95240.859, 24385.768, 36807.102, 97666.000, 25306.654, 23004.439, 23004.439, 27608.869, 25884.346, 78160.570, 71243.039, 64069.863, 41010.305, 74720.602, 24418.129, 80792.242, 39099.082, 81093.000, 41023.961, 209020.312, 75867.258, 97710.117, 197469.172, 37144.129, 114950.703, 64252.688, 11442.260, 70554.734, 100322.211, 94178.602, 59323.715, 54535.570, 121904.078, 69181.664, 75483.703, 137747.203, 27461.424, 48479.973, 38903.684, 68723.969, 179860.906, 286630.656, 143885.281, 77043.273, 107884.305, 164386.656, 51362.184, 81628.578, 79613.359, 68210.555, 105294.453, 77043.273, 120734.734, 37495.578, 41089.746, 28251.178, 23004.439, 25306.654, 25306.654, 48311.094, 23004.439, 25306.654, 126358.500, 72843.609, 71315.531, 146102.094, 25306.654, 25306.654, 72242.820, 48311.094, 80542.102, 23004.439, 28534.072, 207506.000, 67443.445, 54472.324, 54472.324, 54472.324, 86943.055, 259382.500, 108944.648, 107466.188, 111540.469, 111540.469, 89416.078, 77834.719, 54472.324, 91643.945, 26701.096, 50973.121, 50973.121, 75245.148, 245149.328, 50973.121, 55825.656, 50973.121, 104371.578, 75245.148, 72816.078, 97088.102, 50973.121, 5…
$ rexp_cat051  <dbl> 6986.44189, 2465.67847, 2937.16284, 4173.37598, 2401.12964, 393.22910, 3241.51978, 693.59869, 5313.76953, 0.00000, 5545.86523, 5957.21875, 44073.62109, 0.00000, 60211.83984, 5938.58057, 4543.05908, 1352.94226, 2072.12329, 9136.72656, 3424.99829, 7363.96436, 24002.11133, 2129.91235, 7357.69727, 4029.53052, 7028.25098, 8199.62598, 11245.20215, 1405.65027, 431.16006, 4433.67139, 10433.91602, 55987.80859, 65733.14062, 3138.38599, 5733.53174, 32251.11719, 3026.68921, 87245.05469, 2514.58203, 3773.93652, 8853.18750, 16993.18945, 23761.18359, 8842.61133, 16877.72266, 4791.90234, 526.80585, 0.00000, 0.00000, 10743.96777, 0.00000, 25300.41602, 2946.89136, 756.68549, 3957.65356, 1582.71594, 18392.75586, 10194.22852, 3737.03247, 5090.88965, 4536.79443, 66718.13281, 9332.15527, 1958.10864, 1468.58142, 4895.27148, 1984.46326, 450.46320, 5256.90576, 1919.04468, 1691.55408, 7200.20117, 2260.39575, 0.00000, 1991.73071, 4539.93701, 3079.98901, 4041.29370, 3845.28247, 885.46729, 12446.20117, 45158.83203, 33534.26562, 2178.94678, 2256.85059, 5828.01904, 4427.33643, 2025.93311, 0.00000, 2363.66870, 1794.76990, 0.00000, 32724.13672, 3946.63232, 2815.57373, 13054.02344, 0.00000, 3724.58765, 7033.44775, 0.00000, 7159.06787, 5119.22510, 520.56421, 7220.27783, 4664.67822, 2499.40503, 2047.68994, 25739.97070, 2921.33960, 30554.99414, 7212.01855, 19795.41797, 10783.26660, 3000.10474, 11098.34277, 5343.84766, 2405.85718, 1425.79846, 2412.68335, 4082.91846, 7196.91602, 35636.66016, 21118.81250, 1688.87830, 1247.76904, 4770.10010, 5198.94434, 6102.65527, 2354.13940, 36592.71094, 448.09830, 2921.74292, 4235.50732, 0.00000, 4681.34277, 1101.67627, 8993.91992, 6906.32178, 0.00000, 410.33890, 11568.56934, 8570.63965, 7205.97412, 6927.48877, 0.00000, 4122.50049, 514.09076, 1089.61206, 0.00000, 3556.81641, 4808.79980, 6198.27100, 0.00000, 2631.89307, 3354.13403, 2217.23779, 1222.21143, 2877.76855, 1653.38196, 3706.53784, 9539.31348, 4670.39014, 6685.83740, 1014.74097, 1009.59778, 4647.27100, 9126.00586, 8723.33789, 0.00000, 0.00000, 4506.85059, 4434.53271, 885.10541, 0.00000, 473.41623, 52361.77734, 2335.64526, 966.34186, 5220.79395, 1781.30469, 1827.62952, 5339.27246, 6306.24219, 23394.17383, 50645.80469, 9529.19043, 2247.24927, 2853.22827, 9622.85840, 10738.17285, 41375.47656, 9964.77344, 384.11429, 14869.24707, 5343.72607, 37151.17969, 17143.87305, 3566.56348, 15660.11719, 19045.50586, 9809.94629, 1482.74194, 3995.69531, 1123.98132, 29160.59180, 1482.74194, 298.45880, 7345.19043, 1163.88464, 7738.61914, 19989.32227, 36914.64062, 2060.08447, 4563.39355, 5503.41699, 3807.95361, 4312.78955, 2656.40186, 0.00000, 3787.32715, 4061.33057, 701.31628, 0.00000, 1632.08765, 2289.24194, 1497.58948, 798.71442, 0.00000, 2995.17896, 0.00000, 0.00000, 798.71442, 12360.40625, 1497.58948, 2995.17896, 0.00000, 1497.58948, 0.00000, 48370.63672, 2109.24048, 55778.07812, 934.25812, 9168.15723, 20027.29102, 2335.64526, 934.25812, 1131.58081, 77543.42188, 22999.00781, 2802.77417, 6224.05762, 47343.80859, 6492.02246, 21892.05469, 620.35199, 6394.94482, 4650.50781, 7612.08008, 0.00000, 0.00000, 2643.44653, 17622.97656, 2811.13892, 5806.79834, 7540.46191, 4676.01855, 1801.85278, 4475.94385, 1468.58142, 0.00000, 16712.68164, 12538.80664, 8854.67285, 7234.49805, 4930.88623, 1290.20837, 9170.35938, 19098.14453, 4089.74756, 3666.63379, 975.50464, 233.77208, 10851.44141, 467.54416, 10978.42480, 0.00000, 0.00000, 46046.70703, 3071.53491, 0.00000, 1535.76746, 1064.55029, 4069.89624, 8735.29883, 15034.44434, 1023.84497, 9278.12988, 819.07599, 9154.61816, 2169.25391, 40953.80078, 0.00000, 569.74506, 28235.97656, 5224.40674, 965.07330, 8329.86914, 3055.18604, 4120.86475, 4416.54395, 3619.02490, 2096.88550, 4991.07617, 5307.90332, 0.00000, 258.40915, 2467.29468, 4468.89551, 32014.24609, 28041.84375, 1996.52441, 1231.01660, 1429.47363, 6988.44971, 5113.05029, 1184.48083, 7526.50635, 2434.78589, 1168.69714, 730.43573, 4839.54541, 4034.42163, 7220.23389, 1168.69714, 1139.97156, 4225.70801, 874.44775, 0.00000, 2962.46704, 0.00000, 0.00000, 0.00000, 6266.37500, 2473.04517, 4611.74805, 7295.54883, 3470.84717, 1914.19641, 10222.95898, 4427.33643, 4424.35693, 7531.45947, 28873.12695, 14637.68555, 1939.79980, 14954.15527, 3812.24341, 3772.17749, 3094.96191, 4267.41846, 12090.77539, 7534.74512, 2733.16260, 0.00000, 22036.75586, 7604.23193, 6125.40479, 15122.74414, 4786.37842, 18971.19336, 35057.60547, 4557.62695, 880.17383, 4840.95605, 21007.38672, 741.68652, 5138.96533, 14849.42969, 0.00000, 29712.58398, 32286.81055, 5126.83154, 15051.72754, 11752.49414, 9342.36230, 2646.80469, 30910.70508, 32308.42578, 7482.29248, 6659.78125, 4648.09082, 2516.46216, 1976.98938, 0.00000, 4408.78516, 0.00000, 0.00000, 2274.03369, 4427.33643, 2696.48706, 0.00000, 5331.38525, 990.60114, 3556.81641, 59245.91016, 9193.43848, 2037.01892, 9427.10156, 3807.50928, 1965.47986, 1555.71033, 561.05298, 8079.25830, 344.07938, 841.30499, 0.00000, 10572.49512, 0.00000, 9453.36621, 2292.24048, 16…
$ rexp_cat053  <dbl> 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 18742.0020, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 43771.1562, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 34319.1289, 8757.8438, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3280.1604, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 8075.4248, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2574.3442, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 39629.1328, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 9069.3184, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1625.6407, 0.0000, 0.0000, 100587.0156, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 4634.2290, 0.0000, 0.0000, 0.0000, 0.0000, 35616.8711, 0.0000, 0.0000, 0.0000, 0.0000, 55976.4531, 0.0000, 0.0000, 0.0000, 0.0000, 4869.5020, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 7519.0547, 0.0000, 0.0000, 233246.0625, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 59227.5156, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 41120.2812, 0.0000, 0.0000, 0.0000, 0.0000, 7394.7900, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 34366.8594, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 56766.1680, 5125.7139, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000…
$ rexp_cat055  <dbl> 0.00000, 0.00000, 0.00000, 132.47673, 34.01765, 14480.06934, 0.00000, 0.00000, 14098.38184, 9398.92090, 190.84399, 7460.39355, 235.56734, 2083.22534, 11748.65137, 4104.21582, 8996.16113, 0.00000, 0.00000, 24862.84961, 0.00000, 14723.73633, 0.00000, 205.67787, 0.00000, 249.48390, 17992.32227, 20576.42578, 747.05273, 0.00000, 8996.16113, 0.00000, 86.48246, 255.96124, 0.00000, 57.84254, 3838.76440, 160.21645, 0.00000, 166.31242, 0.00000, 99.78745, 49.26886, 0.00000, 0.00000, 35.57392, 12686.68164, 0.00000, 123.03245, 467.12906, 3923.88403, 5930.16016, 4889.05908, 314.70468, 104.65621, 2242.21948, 3643.60645, 0.00000, 0.00000, 233.56453, 0.00000, 123.03245, 0.00000, 139.54161, 8028.24512, 0.00000, 94.22694, 734.29071, 350.06290, 1762.29773, 63.61466, 5286.89307, 63.61466, 3583.33862, 0.00000, 204.10590, 79.01725, 7049.19092, 102.05295, 0.00000, 198.38127, 357.32028, 831.37439, 6596.73096, 2125.12134, 0.00000, 0.00000, 0.00000, 8764.31934, 0.00000, 194.34531, 8500.48535, 92.29779, 272.08344, 178.66014, 263.83386, 10136.06543, 9880.10449, 366.07788, 21276.91992, 539.32062, 511.92249, 831.22449, 179.77353, 41.31610, 165.26442, 0.00000, 0.00000, 142.29568, 272.57794, 76.46120, 229.38359, 2895.21997, 0.00000, 0.00000, 10229.77734, 0.00000, 0.00000, 0.00000, 14069.58789, 8431.70020, 0.00000, 100.59563, 965.07330, 0.00000, 0.00000, 0.00000, 167.65938, 0.00000, 7012.18311, 72.73235, 218.19707, 2405.07251, 0.00000, 9443.31055, 332.74323, 128.25478, 9349.57715, 0.00000, 0.00000, 0.00000, 0.00000, 4815.38721, 171.00638, 9031.76562, 272.08344, 2337.63354, 8500.48535, 10625.60742, 6375.36426, 0.00000, 0.00000, 0.00000, 201.68321, 0.00000, 8500.48535, 6375.36426, 272.08344, 1770.93457, 0.00000, 5886.30176, 0.00000, 0.00000, 0.00000, 0.00000, 9418.08301, 0.00000, 14127.12402, 237.53503, 118.76752, 2582.14478, 4162.04590, 0.00000, 0.00000, 558.63550, 6523.98438, 4035.99487, 0.00000, 3923.88403, 123.03245, 179.83125, 5930.16016, 209.31242, 0.00000, 292.39487, 2485.12646, 0.00000, 365.49359, 0.00000, 0.00000, 4151.11230, 0.00000, 6034.00488, 14406.05176, 0.00000, 5930.96777, 5796.76611, 1729.86560, 1482.74194, 1378.87781, 11135.36816, 0.00000, 29654.83984, 0.00000, 0.00000, 0.00000, 494.24734, 0.00000, 2257.37549, 6198.27100, 155.47624, 3409.04907, 544.16687, 231.44481, 0.00000, 116.60719, 198.38127, 9563.04688, 0.00000, 442.73364, 415.68719, 466.42874, 831.37439, 0.00000, 349.43756, 5781.90625, 0.00000, 2396.14331, 59.49625, 499.19650, 9733.69434, 80.57803, 173.44792, 6121.83643, 298.24173, 454.09848, 748.79474, 201.44510, 111.84065, 111.84065, 12110.25293, 0.00000, 7941.19385, 97.38356, 13453.31641, 8335.89551, 0.00000, 162.30594, 0.00000, 0.00000, 5941.88135, 0.00000, 0.00000, 730.98718, 7847.76807, 104.65621, 2877.35278, 136.07060, 282.68082, 136.07060, 219.34863, 0.00000, 0.00000, 489.52716, 128.93166, 4293.12500, 175.03145, 85.95444, 3524.59546, 4382.96777, 118.52588, 171.90889, 138.56239, 346.40601, 164.26787, 969.93677, 0.00000, 0.00000, 0.00000, 8344.67969, 155.47624, 5312.80371, 3187.68213, 3400.19434, 0.00000, 0.00000, 0.00000, 0.00000, 12778.82812, 611.68958, 7506.51416, 2592.05811, 0.00000, 17324.54492, 76.46120, 106.72176, 21425.75781, 191.15300, 6601.83691, 284.59137, 0.00000, 0.00000, 6470.70020, 223.10695, 8106.61572, 7227.17188, 127.09051, 301.78690, 17371.32031, 0.00000, 108.10815, 100.59563, 0.00000, 0.00000, 13252.82910, 1206.34167, 0.00000, 6948.52783, 4377.63232, 6948.52783, 0.00000, 228.60455, 243.47858, 67.67812, 0.00000, 236.87343, 0.00000, 9476.13867, 1460.87146, 2337.39429, 486.95715, 0.00000, 87.27882, 5290.77783, 94.92104, 2710.77344, 4250.24268, 0.00000, 0.00000, 4250.24268, 5544.24805, 1770.93457, 0.00000, 0.00000, 396.76254, 346.40601, 346.40601, 511.31912, 5528.46777, 246.40178, 194.34531, 263.83386, 0.00000, 0.00000, 82.51536, 228.59612, 0.00000, 11278.58203, 0.00000, 0.00000, 0.00000, 105.28619, 3853.51538, 0.00000, 0.00000, 0.00000, 0.00000, 412.57681, 0.00000, 0.00000, 6480.22607, 0.00000, 4905.84863, 270.45688, 0.00000, 0.00000, 164.32944, 0.00000, 4838.72314, 98.59766, 197.19531, 4890.67236, 7606.57031, 2189.69067, 137.38264, 0.00000, 0.00000, 0.00000, 0.00000, 23130.77539, 103.03698, 7117.16162, 0.00000, 2480.58301, 8737.27148, 29654.83984, 5930.96777, 0.00000, 225.14980, 14234.32324, 239.62677, 8702.16895, 0.00000, 0.00000, 369.36743, 316.60065, 231.44481, 307.65930, 0.00000, 10840.96875, 0.00000, 419.34686, 214.39217, 0.00000, 5312.80371, 0.00000, 111.84065, 499.19650, 36169.19531, 499.19650, 14727.46875, 111.84065, 12701.32617, 208.13750, 372.80215, 19381.78711, 6249.84277, 19392.82617, 405.28043, 9584.57324, 208.13750, 4153.05322, 174.42702, 348.85403, 31654.97852, 242.81601, 259.68951, 4169.94873, 5605.54834, 113.10278, 3586.02661, 13592.85840, 6336.53564, 5044.99365, 7847.76807, 104.65621, 188.50464, 8911.74902, 109.67432, 6951.28564, 153.20737, 0.00000, 109.67432, 6132.18896, 104.26134, 0.00000, 0.00000, 146.23242, 489.52716, 9457.26465, 36859.51562, 2447.635…
$ rexp_cat056  <dbl> 5874.3257, 29371.6289, 5874.3257, 40337.0352, 11748.6514, 14098.3818, 5874.3257, 29371.6289, 17622.9766, 18014.5996, 9398.9209, 29371.6289, 9398.9209, 3524.5955, 13706.7598, 10573.7861, 28113.0039, 22490.4043, 11245.2021, 11245.2021, 14243.9219, 22490.4043, 11245.2021, 11620.0420, 28675.2637, 22490.4043, 22490.4043, 11245.2021, 11245.2021, 22490.4043, 22490.4043, 0.0000, 6143.0698, 14743.3682, 6962.1460, 12286.1396, 18429.2090, 18429.2090, 7371.6841, 14333.8301, 12286.1396, 12286.1396, 12286.1396, 30715.3496, 0.0000, 7371.6841, 30715.3496, 11671.8330, 16816.6465, 3363.3291, 5605.5483, 11211.0967, 17937.7559, 14948.1299, 373.7032, 11211.0967, 16816.6465, 17190.3496, 11211.0967, 10089.9873, 5605.5483, 22422.1934, 5605.5483, 515710.4688, 17622.9766, 0.0000, 14098.3818, 12336.0840, 14098.3818, 17622.9766, 27021.8984, 9398.9209, 29371.6289, 23497.3027, 0.0000, 16448.1113, 9398.9209, 17622.9766, 14098.3818, 23497.3027, 15938.4111, 6375.3643, 10979.7939, 26564.0176, 10625.6074, 21251.2148, 21251.2148, 26918.2051, 21251.2148, 0.0000, 12750.7285, 10625.6074, 5312.8037, 12750.7285, 21251.2148, 0.0000, 7371.6841, 3685.8420, 15562.4434, 11057.5254, 12286.1396, 0.0000, 30715.3496, 6143.0698, 24572.2793, 24572.2793, 3685.8420, 18019.6719, 7371.6841, 11057.5254, 9828.9121, 76993.1406, 11580.8799, 17371.3203, 11580.8799, 6948.5278, 25477.9355, 3474.2639, 3474.2639, 17371.3203, 6948.5278, 17371.3203, 11580.8799, 23161.7598, 12159.9238, 0.0000, 4632.3521, 9264.7041, 17530.4570, 17530.4570, 7401.7490, 37398.3086, 3506.0916, 11686.9717, 28048.7324, 0.0000, 11686.9717, 12271.3203, 19088.7207, 17530.4570, 11686.9717, 5064.3545, 10518.2744, 14024.3662, 10625.6074, 53128.0352, 10625.6074, 21251.2148, 5312.8037, 21251.2148, 21251.2148, 22667.9629, 7792.1118, 5312.8037, 10625.6074, 20188.6543, 32585.1953, 5312.8037, 12750.7285, 5312.8037, 14127.1240, 7652.1924, 17658.9062, 23545.2070, 24722.4668, 11772.6035, 23937.6270, 23545.2070, 26684.5684, 11772.6035, 16089.2246, 9418.0830, 17658.9062, 14519.5449, 8240.8223, 11772.6035, 6726.6582, 16816.6465, 5605.5483, 11211.0967, 5605.5483, 8968.8779, 17937.7559, 22422.1934, 6726.6582, 22422.1934, 118277.0703, 17003.4980, 7847.7681, 11211.0967, 7847.7681, 16816.6465, 14827.4199, 11861.9355, 5930.9678, 22142.2812, 29259.4414, 14234.3232, 7117.1616, 23723.8711, 14234.3232, 11861.9355, 11861.9355, 3558.5808, 5930.9678, 5930.9678, 17397.5059, 23723.8711, 21251.2148, 19126.0938, 15584.2236, 21251.2148, 21251.2148, 26564.0176, 21251.2148, 15938.4111, 17000.9707, 8500.4854, 391022.3438, 8500.4854, 0.0000, 0.0000, 10625.6074, 0.0000, 16173.9668, 11980.7158, 3594.2148, 9584.5732, 4792.2866, 5990.3579, 10782.6445, 11980.7158, 9584.5732, 9584.5732, 11182.0020, 3594.2148, 10782.6445, 4792.2866, 5391.3223, 16173.9668, 28027.7422, 4484.4390, 28027.7422, 13453.3164, 28027.7422, 26906.6328, 0.0000, 0.0000, 4484.4390, 11958.5039, 29522.5547, 11211.0967, 22422.1934, 28588.2969, 11211.0967, 28027.7422, 9398.9209, 18797.8418, 23497.3027, 12140.2734, 4699.4604, 9398.9209, 9398.9209, 23497.3027, 9398.9209, 18797.8418, 9398.9209, 17622.9766, 9398.9209, 18797.8418, 13315.1387, 5874.3257, 26564.0176, 19126.0938, 14875.8496, 12750.7285, 19126.0938, 4250.2427, 13104.9150, 26564.0176, 26564.0176, 0.0000, 4250.2427, 7437.9248, 159384.1094, 5312.8037, 25501.4570, 5312.8037, 32763.0391, 12900.4473, 16791.0586, 9828.9121, 9828.9121, 8600.2979, 24572.2793, 8600.2979, 8600.2979, 3685.8420, 70031.0000, 12286.1396, 15971.9814, 0.0000, 9828.9121, 12695.6777, 13897.0557, 6948.5278, 5790.4399, 0.0000, 13511.0264, 8338.2334, 11580.8799, 0.0000, 0.0000, 4632.3521, 5790.4399, 5790.4399, 17371.3203, 10422.7920, 5790.4399, 0.0000, 14024.3662, 29217.4297, 23373.9434, 5843.4858, 14024.3662, 13634.8008, 23373.9434, 17530.4570, 29217.4297, 5843.4858, 6233.0518, 5843.4858, 14024.3662, 29217.4297, 29217.4297, 25711.3379, 9563.0469, 12750.7285, 17000.9707, 9563.0469, 9563.0469, 8854.6729, 15938.4111, 5312.8037, 17000.9707, 6375.3643, 12750.7285, 12750.7285, 21251.2148, 21251.2148, 19126.0938, 21251.2148, 16917.8730, 28196.4551, 16917.8730, 22557.1641, 11278.5820, 28196.4551, 5639.2910, 11278.5820, 11278.5820, 18045.7305, 22557.1641, 28196.4551, 20301.4473, 9022.8652, 28196.4551, 16917.8730, 10562.0859, 10562.0859, 21124.1719, 3696.7300, 108789.4844, 13202.6074, 21124.1719, 5281.0430, 0.0000, 5281.0430, 21124.1719, 7393.4600, 15843.1289, 15843.1289, 12674.5029, 10210.0166, 25305.4629, 0.0000, 23723.8711, 8698.7529, 28864.0449, 29654.8398, 23723.8711, 7117.1616, 8698.7529, 11861.9355, 37562.7969, 16606.7109, 28468.6465, 7117.1616, 0.0000, 4744.7744, 25501.4570, 17000.9707, 21251.2148, 0.0000, 0.0000, 21251.2148, 21251.2148, 21251.2148, 10625.6074, 26564.0176, 17709.3457, 25501.4570, 21251.2148, 10625.6074, 5312.8037, 5312.8037, 11980.7158, 0.0000, 14376.8594, 9584.5732, 11980.7158, 17971.0742, 9584.5732, 14376.8594, 23961.4316, 11980.7158, 8386.5010, 17971.0742, 28753.7188, 23961.4316, 11980.7158, 19169.1465, 5605.5483, 22…
$ rexp_cat091  <dbl> 0.0000, 0.0000, 1248.7662, 2202.8721, 0.0000, 0.0000, 513.0583, 2140.7422, 392.2430, 0.0000, 0.0000, 0.0000, 20436.4785, 0.0000, 0.0000, 1045.9812, 853.7532, 3604.1230, 0.0000, 876.0143, 0.0000, 2087.9565, 0.0000, 0.0000, 29631.7129, 0.0000, 0.0000, 0.0000, 2342.6360, 2342.7502, 1802.0615, 730.7848, 14567.8789, 24146.8340, 118005.4375, 0.0000, 0.0000, 0.0000, 0.0000, 24389.6934, 0.0000, 6891.0571, 11774.2178, 0.0000, 74338.3203, 65981.7969, 24060.2617, 0.0000, 0.0000, 0.0000, 595.8147, 0.0000, 0.0000, 18231.1484, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 36937.7734, 3671.4536, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1967.4572, 0.0000, 0.0000, 522.9906, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3541.8691, 17290.4902, 14496.7891, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 9684.3252, 0.0000, 15101.6514, 13282.0088, 0.0000, 0.0000, 0.0000, 14273.0820, 4740.5161, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 6143.0698, 2281.2332, 31257.8281, 0.0000, 13278.1592, 0.0000, 4825.3667, 0.0000, 0.0000, 3102.9785, 0.0000, 2297.7080, 0.0000, 12693.9688, 3870.5103, 25313.1797, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 4869.5718, 0.0000, 0.0000, 0.0000, 0.0000, 900.6438, 0.0000, 1064.7517, 0.0000, 0.0000, 0.0000, 0.0000, 2434.7859, 0.0000, 2959.3696, 0.0000, 3064.9871, 0.0000, 0.0000, 484.0276, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 7117.5581, 0.0000, 1512.0715, 0.0000, 788.5873, 0.0000, 10900.0586, 0.0000, 4905.2515, 2207.3633, 35084.5000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2335.6453, 766.0475, 0.0000, 0.0000, 0.0000, 851.1639, 0.0000, 0.0000, 0.0000, 76001.0469, 0.0000, 0.0000, 0.0000, 766.0475, 0.0000, 0.0000, 1700.3331, 0.0000, 4942.4731, 0.0000, 1828.2544, 0.0000, 0.0000, 660.0419, 0.0000, 4448.2261, 0.0000, 0.0000, 0.0000, 56838.4414, 2833.8887, 0.0000, 0.0000, 0.0000, 2108.1770, 4427.3364, 4270.5347, 0.0000, 0.0000, 17442.3984, 968.0551, 20588.7754, 1245.5726, 0.0000, 1791.9504, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 998.3930, 0.0000, 0.0000, 0.0000, 17271.3320, 0.0000, 81747.5859, 0.0000, 0.0000, 9619.4062, 0.0000, 0.0000, 0.0000, 49048.5508, 17480.9941, 0.0000, 33777.2969, 167332.5938, 2669.2095, 0.0000, 0.0000, 23932.2734, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1783.9518, 2951.1855, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 17851.9121, 36570.3047, 0.0000, 0.0000, 682.3757, 0.0000, 0.0000, 11983.6406, 0.0000, 23928.7793, 0.0000, 0.0000, 35955.9297, 0.0000, 0.0000, 0.0000, 0.0000, 1893.6360, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1761.1401, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 9925.8555, 0.0000, 2637.7151, 0.0000, 0.0000, 10801.5361, 0.0000, 0.0000, 0.0000, 0.0000, 1075.1418, 0.0000, 0.0000, 0.0000, 6554.9956, 0.0000, 0.0000, 0.0000, 0.0000, 7304.3574, 0.0000, 0.0000, 0.0000, 1391.2544, 0.0000, 0.0000, 3652.0005, 0.0000, 3745.7119, 0.0000, 0.0000, 0.0000, 1362.2164, 0.0000, 1601.4506, 0.0000, 0.0000, 0.0000, 4150.4248, 0.0000, 0.0000, 5959.6968, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 434.5858, 8966.1123, 33339.4258, 1662.8179, 1342.6384, 0.0000, 10567.5049, 0.0000, 0.0000, 4699.4092, 41128.9414, 47100.7070, 0.0000, 18797.6367, 0.0000, 3785.0200, 86083.2422, 2750.4089, 0.0000, 13951.3125, 6601.3037, 22445.3984, 561.3229, 65745.1484, 962.2679, 0.0000, 42650.5742, 1961.1188, 4400.8691, 38594.9102, 48409.5586, 75388.2969, 0.0000, 0.0000, 1530.9802, 0.0000, 0.0000, 0.0000, 1523.5454, 0.0000, 0.0000, 2422.7158, 24712.3672, 1523.5454, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 28546.3066, 41187.1211, 322.6851, 2959.3696, 0.0000, 0.0000, 2554.1558, 0.0000, 955.3260, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 230.8202, 0.0000, 0.0000, 2139.3340, 0.0000, 0.0000, 35024.1289, 0.0000, 0.0000, 5942.5947, 0.0000, 1874.8795, 1021.3967, 0.0000, 4163.2485, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 445.9879, 0.0000, 0.0000, 6452.7246, 0.0000, 0.0000, 13802.5752, 13767.2793, 4362.8696, 0.0000, 0.0000, 34812.0859, 0.0000, 25613.5176, 0.0000, 0.0000, 0.0000, 1028.2968, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2559.5354, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 879.2384, 0.0000, 0.0000, 0.0000, 446.2339, 0.0000, 527.5430, 669.3509, 0.0000, 0.0000, 1688.8783, 0.0000, 0.0000, 0.0000, 3530.2068, 0.0000, 1391.2544, 0.0000, 0.0000, 440.4938, 0.0000, 0.0000, 1365.6431, 0.0000, 2318.7573, 7045.6616, 0.0000, 0.0000, 0.0000, 0.0000, 3541.8691, 29592.0781, 0.0000, 0.0000, 0.0000, 2108.1770, 0.0000, 0.0000, 0.0000, 0.0000, 1501.2267, 0.0000, 0.0000, 0.0000, 2951.4478, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000…
$ rexp_cat095  <dbl> 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2895.2200, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000…
$ rexp_cat01   <dbl> 230479.58, 451053.09, 240357.11, 1721641.12, 675342.81, 704659.62, 328082.59, 1145611.50, 492120.97, 324707.16, 180996.00, 508368.44, 699915.38, 461425.84, 1185676.50, 658353.31, 481081.34, 360880.66, 604736.06, 509189.44, 585941.12, 1466283.38, 490418.00, 550553.62, 937892.38, 1055286.12, 1144765.75, 542678.81, 639796.31, 580934.62, 548430.19, 452932.69, 241668.06, 449800.47, 1456471.00, 461625.47, 565828.94, 483929.31, 482022.09, 1057549.75, 623031.31, 663406.56, 592455.62, 596886.38, 1009202.12, 2068035.50, 917746.38, 532177.06, 351345.59, 218353.50, 543811.12, 620767.06, 546740.94, 983978.69, 572031.06, 295975.22, 442501.91, 338377.56, 189709.03, 827256.56, 311533.81, 759499.50, 242211.66, 995971.62, 555686.38, 160877.55, 342263.19, 647938.25, 414529.78, 477104.12, 291203.06, 228547.67, 977386.88, 591384.56, 411485.62, 281844.38, 270428.31, 574641.31, 606037.62, 663213.69, 735334.56, 284240.69, 805889.38, 889563.25, 817689.81, 500544.72, 516698.09, 706804.00, 773701.31, 292430.69, 519291.69, 696197.31, 635066.38, 688230.38, 791362.44, 616464.81, 889387.38, 455110.09, 636756.19, 706389.62, 682871.00, 577832.88, 454739.38, 667311.94, 912554.69, 653115.94, 149319.06, 346682.66, 173478.78, 1926074.00, 791455.38, 1005920.38, 576597.81, 589178.62, 200209.12, 225233.06, 509146.62, 223362.88, 267813.25, 856073.25, 799378.75, 643639.00, 1116931.88, 827899.75, 910918.00, 96808.97, 160632.19, 692159.94, 390742.16, 783062.81, 953033.69, 1193519.25, 368865.75, 383164.31, 731401.81, 198749.28, 616887.38, 698043.62, 609503.00, 379277.78, 279227.09, 101972.41, 846033.06, 1185807.12, 1274457.75, 1647613.50, 282370.62, 583521.50, 398597.44, 573649.25, 369167.56, 538088.50, 337831.81, 256713.19, 427616.09, 315690.47, 612400.19, 653701.12, 615603.44, 121154.93, 738285.00, 384947.72, 908927.31, 773101.94, 697849.38, 417480.28, 760445.56, 1023269.06, 305735.62, 404466.56, 867297.50, 456056.22, 364428.00, 241953.38, 680432.81, 611480.44, 540826.50, 1968471.88, 303275.25, 271293.09, 403198.88, 599951.00, 782471.12, 672637.88, 499290.31, 778896.06, 680010.44, 454047.00, 397649.31, 435590.09, 415353.75, 802183.50, 1209661.88, 1495096.25, 127165.98, 454983.97, 900661.44, 642773.44, 788247.38, 277123.59, 1069713.75, 938788.38, 725609.50, 449153.06, 230959.62, 369633.47, 809137.62, 788070.81, 503643.19, 601408.81, 525065.00, 410297.19, 1009320.50, 722322.06, 484210.44, 289984.00, 825771.19, 705780.06, 970264.31, 533907.25, 166083.28, 563345.94, 462870.69, 143492.55, 461965.06, 740657.50, 125325.27, 174594.97, 422804.41, 464768.09, 378949.16, 525726.81, 360744.28, 352655.62, 493515.53, 259019.03, 365264.81, 186529.11, 493372.03, 498909.62, 1149983.38, 568004.50, 1341622.88, 470966.91, 608423.31, 915034.94, 103200.50, 255238.67, 201591.38, 860053.38, 1170532.75, 198479.05, 391256.28, 2535582.00, 960305.12, 631955.44, 733499.69, 1979410.12, 1076006.62, 866249.44, 164794.00, 438544.16, 240563.14, 1748573.50, 753759.44, 979869.06, 152466.31, 439427.94, 560799.94, 743996.38, 198194.55, 271882.56, 691240.94, 637180.88, 609441.25, 986361.88, 447076.56, 525133.62, 524092.69, 810499.38, 942387.75, 1156076.88, 415872.44, 245255.34, 536125.12, 450488.78, 675394.12, 327314.22, 732016.81, 1453894.50, 711167.50, 456071.09, 300773.31, 571496.75, 414331.41, 1128017.75, 459241.12, 303040.25, 778296.12, 302106.81, 1462559.38, 206099.52, 906365.81, 623730.38, 295714.88, 728251.44, 610107.38, 318339.66, 1030686.44, 507218.59, 306466.94, 713926.00, 130038.05, 1062779.25, 515539.31, 261267.64, 205485.72, 358180.12, 567999.81, 841121.38, 841913.00, 788158.94, 422211.53, 114975.12, 562698.00, 627133.69, 726221.12, 687198.88, 996160.44, 457478.88, 218072.77, 157442.12, 332357.69, 1042103.50, 1055846.25, 422728.78, 526834.94, 607633.81, 611538.94, 407978.97, 489679.44, 645218.81, 299444.19, 417586.91, 962531.19, 199804.20, 616448.31, 1102041.88, 545991.06, 499253.44, 628785.31, 740884.56, 247477.75, 755014.00, 1103732.38, 1049506.75, 323352.59, 925037.81, 193322.50, 801485.31, 109034.90, 643654.12, 556616.69, 1784595.50, 959960.12, 504857.31, 964107.62, 664698.44, 712432.69, 1221538.88, 813833.38, 540050.00, 663865.94, 853264.31, 519250.97, 452929.31, 1144709.25, 485217.50, 476985.56, 655496.12, 536279.50, 726222.00, 500327.22, 515001.81, 1944806.38, 659928.69, 809368.19, 1094118.38, 1055431.62, 1007274.75, 498268.31, 586180.62, 1023232.88, 451398.44, 921852.75, 626892.75, 764017.94, 461889.59, 80785.36, 364294.66, 787634.06, 763235.69, 486766.34, 334504.66, 345616.53, 970945.12, 1053670.75, 900148.19, 548560.19, 1475794.75, 248155.33, 1037879.25, 606687.38, 228542.08, 423334.38, 238474.78, 769710.44, 293075.72, 461111.84, 269859.59, 424432.66, 783191.62, 1164469.25, 283016.38, 448728.00, 743431.00, 758764.75, 1082055.62, 1189002.88, 373743.28, 397426.66, 1019484.50, 803865.38, 767353.50, 1320797.38, 448285.44, 1029899.56, 946747.06, 283986.12, 647467.88, 1789959.38, 336003.38, 278450.16, 345807.47, 615166.00, 706012.44, 531303.81, 581…
$ rexp_cat02   <dbl> 0.000, 0.000, 0.000, 169702.734, 0.000, 0.000, 190915.594, 0.000, 0.000, 30546.494, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 47104.898, 0.000, 0.000, 0.000, 0.000, 14618.763, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 10647.988, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 14574.426, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 77730.273, 26989.678, 0.000, 0.000, 16970.275, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 127277.055, 0.000, 0.000, 51160.332, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 15348.100, 0.000, 0.000, 0.000, 13813.289, 0.000, 0.000, 29577.744, 0.000, 10647.988, 0.000, 10647.988, 106479.875, 0.000, 5323.994, 0.000, 0.000, 0.000, 0.000, 20704.420, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 15055.144, 0.000, 0.000, 15055.144, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 15193.063, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 16881.182, 0.000, 42974.680, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 68019.484, 29758.523, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 112232.156, 0.000, 0.000, 13603.896, 0.000, 0.000, 0.000, 0.000, 72872.133, 82588.422, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 14278.256, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 25700.861, 13813.289, 0.000, 13813.289, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 38370.246, 0.000, 0.000, 0.000, 0.000, 0.000, 10383.287, 0.000, 11681.198, 0.000, 51916.438, 0.000, 25958.219, 31149.861, 0.000, 0.000, 0.000, 6229.973, 0.000, 0.000, 38937.328, 41533.148, 0.000, 0.000, 0.000, 0.000, 36436.066, 0.000, 36436.066, 29148.852, 0.000, 0.000, 0.000, 0.000, 14574.426, 80969.031, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 76366.234, 0.000, 0.000, 0.000, 76740.492, 0.000, 0.000, 23022.146, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 153480.984, 153480.984, 0.000, 31943.963, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 15055.144, 0.000, 0.000, 0.000, 0.000, 17564.334, 0.000, 0.000, 0.000, 37637.859, 0.000, 0.000, 30386.127, 56270.605, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 34533.223, 0.000, 103599.672, 172666.109, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 34326.777, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 115139.859, 46261.551, 57113.023, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 46261.551, 68535.633, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 51916.438, 86527.398, 0.000, 0.000, 0.000, 34610.961, 14421.232, 0.000, 0.000, 0.000, 0.000, 0.000, 253702.969, 7287.213, 0.000, 2429.071, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 22909.871, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 38183.117, 0.000, 55153.391, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 59155.488, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 25091.906, 0.000, 0.000, 0.000, 13939.947, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 23130.775, 0.000, 0.000, 75965.320, 0.000, 15193.063, 0.000, 57113.023, 0.000, 0.000, 29260.715, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 30608.770, 42087.059, 0.000, 0.000, 0.000, 0.000, 0.000, 91826.312, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 151142.188, 0.000, 0.000, 0.000, 0.000, 36436.066, 0.000, 0.000, 0.000, 0.000, 0.000, 34267.816, 0.000, 80243.797, 0.000, 0.000, 0.000, 0.000, 23130.775, 0.000, 0.000, 0.000, 131931.078, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 86527.391, 0.000, 51916.438, 31149.861, 0.000, 252371.562, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 179825.328, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 16970.275, 0.000, 0.000, 0.000, 0.000, 0.000, 2…
$ rexp_cat03   <dbl> 0.0000, 19581.0859, 0.0000, 69708.6641, 0.0000, 0.0000, 46994.6055, 11748.6514, 0.0000, 0.0000, 0.0000, 0.0000, 19581.0859, 11748.6514, 13706.7598, 76366.2344, 4498.0806, 0.0000, 0.0000, 0.0000, 35609.8047, 22490.4043, 0.0000, 40107.8867, 0.0000, 0.0000, 11245.2021, 13119.4023, 3186.1404, 1499.3602, 0.0000, 18742.0020, 76993.1406, 59383.0078, 167091.5000, 0.0000, 4095.3799, 0.0000, 0.0000, 102384.5000, 0.0000, 0.0000, 4914.4561, 16381.5195, 72897.7656, 12286.1396, 0.0000, 16791.0586, 13453.3164, 0.0000, 1121.1097, 0.0000, 0.0000, 89688.7812, 84083.2266, 0.0000, 5605.5483, 76609.1641, 5605.5483, 0.0000, 9342.5811, 5605.5483, 0.0000, 201799.7500, 0.0000, 0.0000, 4699.4604, 0.0000, 27413.5195, 1958.1086, 21539.1953, 55218.6641, 7832.4346, 0.0000, 0.0000, 0.0000, 19581.0859, 0.0000, 62659.4727, 0.0000, 22667.9629, 0.0000, 6375.3643, 0.0000, 17709.3457, 0.0000, 0.0000, 63753.6445, 0.0000, 4250.2427, 1770.9346, 2125.1213, 8500.4863, 5312.8037, 8854.6729, 20542.8418, 1433.3829, 0.0000, 0.0000, 14333.8301, 29486.7344, 0.0000, 0.0000, 0.0000, 0.0000, 11876.6016, 0.0000, 27439.0469, 5323.9941, 4914.4561, 0.0000, 92146.0469, 0.0000, 127389.6797, 0.0000, 0.0000, 49411.7539, 0.0000, 0.0000, 5790.4399, 21231.6133, 0.0000, 38602.9336, 0.0000, 67555.1328, 0.0000, 0.0000, 146691.1406, 0.0000, 39735.7031, 44410.4922, 346713.5000, 13634.8008, 0.0000, 125050.6016, 0.0000, 120765.3750, 0.0000, 25321.7715, 0.0000, 0.0000, 0.0000, 11686.9717, 0.0000, 162217.5938, 67295.5156, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2833.4954, 10625.6074, 10625.6074, 8146.2988, 708.3738, 26564.0195, 0.0000, 0.0000, 0.0000, 49052.5156, 40811.6953, 25507.3086, 0.0000, 11772.6035, 16874.0645, 27076.9883, 0.0000, 0.0000, 0.0000, 43951.0547, 0.0000, 0.0000, 0.0000, 0.0000, 33633.2930, 9342.5811, 1868.5162, 0.0000, 70256.2031, 28775.1484, 0.0000, 4484.4390, 0.0000, 97162.8438, 27280.3359, 11211.0967, 8595.1738, 57924.0000, 0.0000, 71171.6172, 5930.9678, 0.0000, 99244.8594, 39144.3867, 5930.9678, 63263.6602, 61286.6680, 48831.6328, 29654.8398, 21746.8828, 0.0000, 25700.8613, 63263.6602, 43493.7656, 1976.9894, 17709.3457, 0.0000, 46044.2969, 0.0000, 88546.7266, 26564.0195, 1770.9346, 5312.8037, 67295.5156, 54898.9688, 65524.5781, 4958.6167, 0.0000, 0.0000, 0.0000, 3541.8691, 0.0000, 1996.7860, 0.0000, 0.0000, 0.0000, 0.0000, 6789.0723, 0.0000, 11980.7158, 0.0000, 35942.1484, 22364.0039, 37938.9336, 0.0000, 7987.1440, 0.0000, 451433.5000, 0.0000, 0.0000, 0.0000, 0.0000, 28027.7422, 747.4065, 22422.1934, 7474.0649, 59792.5195, 0.0000, 3737.0325, 10837.3936, 248512.6562, 27280.3359, 29896.2598, 13315.1387, 14881.6250, 5091.0825, 1958.1086, 0.0000, 5091.0825, 10573.7861, 7832.4346, 114353.5391, 104563.0000, 0.0000, 7832.4346, 23497.3027, 0.0000, 24280.5469, 0.0000, 3541.8691, 708.3738, 6375.3643, 184177.1875, 0.0000, 0.0000, 72254.1328, 0.0000, 14167.4766, 10625.6074, 0.0000, 8854.6729, 0.0000, 4250.2427, 0.0000, 0.0000, 49144.5586, 30305.8105, 69621.4531, 0.0000, 0.0000, 14333.8301, 2661.9971, 92555.5859, 31534.4258, 0.0000, 0.0000, 52830.4023, 86002.9766, 0.0000, 22115.0508, 17200.5957, 0.0000, 0.0000, 133180.1094, 0.0000, 11580.8799, 15441.1738, 0.0000, 64466.8984, 0.0000, 5790.4399, 81066.1562, 0.0000, 5790.4399, 0.0000, 27794.1133, 67555.1328, 89600.1172, 65057.4766, 15582.6289, 0.0000, 77913.1484, 31554.8242, 0.0000, 0.0000, 2532.1772, 0.0000, 0.0000, 0.0000, 12466.1035, 0.0000, 44800.0586, 7791.3145, 0.0000, 0.0000, 0.0000, 0.0000, 5312.8037, 54898.9688, 1770.9346, 2125.1213, 0.0000, 33647.7578, 54898.9727, 0.0000, 6375.3643, 12396.5420, 2833.4954, 10625.6074, 0.0000, 0.0000, 109026.2891, 80829.8359, 13158.3457, 0.0000, 0.0000, 84589.3672, 12406.4404, 56392.9102, 0.0000, 16917.8730, 13158.3457, 0.0000, 0.0000, 0.0000, 95058.7734, 0.0000, 0.0000, 8801.7383, 0.0000, 101043.9531, 17427.4414, 0.0000, 61612.1680, 21124.1719, 0.0000, 63372.5156, 1760.3477, 0.0000, 123224.3359, 31686.2578, 110711.4062, 43493.7656, 51401.7227, 43493.7656, 50215.5273, 106757.4219, 3558.5808, 97663.2656, 30050.2383, 0.0000, 27677.8496, 0.0000, 33608.8203, 15815.9150, 0.0000, 0.0000, 885.4673, 9917.2334, 19480.2793, 0.0000, 0.0000, 60211.7734, 179926.9531, 38960.5586, 30105.8867, 32231.0078, 24793.0840, 8854.6729, 0.0000, 0.0000, 0.0000, 0.0000, 89855.3672, 0.0000, 66093.6172, 0.0000, 0.0000, 65893.9375, 11980.7158, 1996.7860, 0.0000, 0.0000, 70286.8672, 87858.5859, 0.0000, 0.0000, 29951.7891, 0.0000, 0.0000, 0.0000, 0.0000, 5605.5483, 37370.3242, 0.0000, 9342.5811, 22422.1934, 0.0000, 37370.3242, 11958.5039, 0.0000, 67266.5859, 89688.7812, 48581.4219, 47834.0156, 74408.1250, 0.0000, 9790.5430, 31721.3594, 0.0000, 0.0000, 0.0000, 39162.1719, 0.0000, 95947.3203, 0.0000, 3524.5955, 33287.8438, 134326.2500, 39162.1719, 39162.1719, 3692.0962, 60919.5859, 0.0000, 0.0000, 14768.3848, 0.0000, 12922.3369, 89348.7266, 60919.5898, 0.0000, 0.0000, 0.0000, 0.0000, 16614.4336, 0.0000, 0.0000, 2047.6899, 0.0000, 13924.2910, 0.0000, 0.0000, 0.0000, 0.0000, …
$ rexp_cat04   <dbl> 48934.81, 88663.16, 77507.71, 88656.31, 187880.52, 96421.17, 69580.59, 100190.47, 128706.73, 87644.94, 71596.28, 160486.58, 91849.13, 109909.89, 161464.77, 212885.56, 131119.05, 76878.49, 132580.92, 99812.95, 133029.20, 180391.78, 143192.48, 48298.14, 103477.50, 82012.66, 57504.64, 105498.73, 78192.18, 54629.77, 95134.41, 93065.55, 175650.84, 300355.19, 493493.31, 83730.05, 155583.48, 90822.69, 135579.55, 394064.50, 151169.95, 132076.00, 554104.88, 252193.50, 476661.25, 619797.50, 404398.28, 108865.77, 26353.52, 70966.24, 84625.09, 65188.80, 103676.49, 464774.69, 165643.95, 168054.34, 107906.81, 71828.56, 111842.09, 187356.12, 168352.52, 133067.50, 93598.48, 106956.61, 160486.58, 109614.92, 60681.78, 79786.82, 111142.24, 223106.89, 63227.32, 59914.39, 123380.42, 139207.81, 109122.39, 125240.62, 54807.46, 86117.61, 64634.56, 101618.93, 49274.48, 38942.85, 132430.48, 233398.80, 149661.67, 136751.56, 145145.80, 92890.59, 65506.87, 38942.85, 129756.38, 91619.69, 125727.67, 127454.16, 140328.84, 117731.73, 280242.94, 79798.48, 82267.99, 218030.36, 175741.00, 95283.36, 180489.25, 102416.84, 156439.91, 84737.50, 88177.44, 55676.69, 52768.97, 148002.81, 252992.09, 139139.41, 106497.77, 319990.75, 133122.22, 63277.93, 60800.54, 50743.55, 106717.81, 87397.04, 62012.41, 167942.06, 196423.78, 139310.02, 161780.95, 48234.36, 42443.92, 80129.71, 187478.50, 186465.62, 90183.95, 130653.73, 85256.46, 67726.00, 100800.13, 184946.33, 118427.22, 75731.58, 160349.38, 254730.56, 69654.35, 52170.64, 136873.92, 128035.55, 124443.56, 191982.47, 91064.83, 103100.84, 99136.91, 114137.04, 49525.95, 96715.70, 69131.60, 65506.87, 86758.09, 41246.18, 55328.94, 152211.81, 143559.66, 78434.69, 109838.39, 56681.16, 167915.78, 65855.95, 84242.16, 54083.34, 137876.81, 109838.39, 127006.78, 53768.35, 77071.31, 79457.71, 64325.51, 313739.91, 135326.08, 76051.02, 65360.70, 196661.33, 57157.91, 265142.44, 85660.19, 43457.97, 91828.50, 167559.47, 82756.58, 256230.66, 446538.00, 118527.80, 162448.80, 108878.44, 65115.02, 70966.24, 187873.28, 127871.31, 55335.93, 87505.17, 153906.89, 326400.94, 91334.83, 74670.88, 138923.03, 166629.56, 210865.69, 62808.95, 62808.95, 192859.25, 343521.69, 234727.94, 139124.62, 92566.75, 77885.70, 97891.31, 155062.11, 171389.17, 154514.03, 106202.95, 97523.09, 91869.18, 93371.00, 45318.21, 38942.85, 75324.93, 60360.53, 49568.46, 81648.58, 87818.65, 43909.32, 69264.61, 20432.22, 97507.47, 129058.75, 89389.52, 39875.82, 43909.32, 55758.84, 52495.50, 39476.46, 85841.83, 64476.22, 93625.30, 259888.33, 68200.84, 268262.88, 36940.56, 99180.84, 193247.41, 43517.74, 35483.12, 36940.56, 219629.44, 346516.31, 93782.20, 211628.14, 597580.62, 116188.08, 166930.84, 167594.84, 150082.45, 78254.57, 135638.19, 48933.13, 271279.81, 49929.96, 154533.06, 112160.46, 78970.83, 70693.80, 142922.34, 118664.83, 174646.62, 45928.08, 112160.46, 242440.94, 159012.20, 62496.28, 176496.20, 179820.69, 125311.33, 98393.12, 250993.75, 110594.48, 139726.73, 123522.69, 31876.82, 289016.50, 124443.56, 147324.05, 97879.55, 86664.08, 148507.20, 65485.12, 67472.37, 50268.69, 82302.50, 78330.16, 69793.46, 246216.53, 98312.23, 126674.21, 106651.88, 118134.16, 23580.61, 176060.38, 52668.01, 70025.72, 64235.28, 69535.91, 52761.00, 191567.05, 42443.92, 198310.97, 196310.36, 48234.36, 61320.76, 77071.31, 56794.24, 185776.61, 78325.35, 59314.06, 318435.66, 70199.74, 111949.47, 76510.71, 17530.46, 60260.23, 192737.64, 111894.41, 49280.06, 126753.00, 53174.43, 66493.24, 136873.92, 119465.16, 161163.34, 109300.72, 163091.69, 103396.02, 134353.39, 70175.14, 61947.29, 147259.70, 82372.35, 92010.98, 79638.93, 201496.94, 50949.79, 89935.14, 129990.50, 47425.93, 41781.31, 108009.30, 70111.30, 70998.67, 141319.08, 252346.00, 131741.36, 80485.34, 142392.09, 69532.45, 148463.73, 78574.12, 126207.33, 136891.91, 321806.12, 199931.66, 152817.12, 366647.91, 93537.04, 246976.78, 423363.59, 96995.16, 108578.24, 205943.06, 199799.47, 185012.55, 97840.12, 195838.69, 148397.31, 128294.13, 359551.00, 80271.85, 175225.00, 144524.55, 295597.56, 215446.72, 310354.53, 185402.06, 100767.14, 143470.11, 223696.34, 114230.45, 111283.42, 91475.30, 139382.17, 129018.33, 136352.95, 162251.52, 73081.38, 58882.65, 51975.05, 44255.66, 97679.74, 53995.79, 101439.12, 38942.85, 78434.69, 285742.62, 179099.69, 113817.96, 241732.56, 35932.26, 89060.30, 125370.86, 69562.31, 101793.31, 49721.08, 68366.33, 267409.59, 94692.92, 66453.04, 96700.73, 84424.12, 164817.72, 284517.50, 126915.72, 203311.91, 121524.40, 171444.05, 148591.78, 89815.44, 72443.40, 115605.38, 49123.29, 99267.91, 84214.00, 133542.84, 284388.16, 99267.91, 139908.88, 62184.22, 161263.17, 97667.34, 131674.34, 134084.72, 97101.48, 135056.36, 81230.76, 123539.94, 65752.42, 392251.62, 164643.64, 82788.83, 171111.36, 99001.83, 109716.47, 136636.81, 100411.81, 162260.47, 109614.92, 280401.16, 165442.50, 323167.62, 144666.00, 127786.17, 96492.94, 148680.72, 184604.81, 205912.81, 129721.80, 76223.33, 110230.27, 119050.80, …
$ rexp_cat05   <dbl> 14623.0645, 48481.2266, 10280.0703, 47090.5234, 14183.7988, 28971.6797, 22822.6055, 41813.8789, 40951.3438, 27413.5195, 15135.6299, 42789.2422, 53708.1094, 5607.8208, 97415.8984, 20616.5820, 41652.2266, 23843.3457, 13317.3252, 45244.7812, 17668.9199, 44578.1055, 41807.0156, 18172.5820, 54774.9609, 26769.4180, 47510.9766, 40021.2539, 29797.1562, 23896.0547, 31917.7266, 4433.6714, 19939.7715, 70987.1406, 147181.7969, 15482.3682, 28001.5039, 50840.5430, 10398.3730, 111983.6484, 14800.7217, 16159.8633, 24260.1309, 47708.5391, 65247.2266, 25007.7129, 60279.7539, 16463.7344, 17466.4844, 3830.4583, 9529.4326, 27885.2266, 22826.8145, 40563.2500, 38003.0586, 14210.0020, 24417.9062, 22510.0977, 33340.8867, 20517.7812, 11678.2266, 27636.1152, 10142.3428, 624609.7500, 34983.3750, 1958.1086, 15661.1904, 17965.6465, 16432.9082, 19835.7383, 46049.1797, 24437.2930, 37001.1250, 36238.9531, 4610.1260, 16652.2168, 11469.6689, 36065.4844, 25112.8594, 27538.5957, 24409.4102, 16472.8242, 24257.3691, 87174.2500, 56910.6016, 23430.1621, 26695.7480, 32746.2246, 34442.8711, 2025.9331, 12945.0742, 21489.7617, 7199.8711, 13022.8115, 54154.0117, 7309.6016, 21859.0898, 26619.9707, 17464.2891, 36059.0312, 27934.3320, 511.9225, 38705.6406, 11442.0684, 25134.1602, 44243.9609, 8350.5205, 20519.0762, 9561.6699, 37070.0742, 12826.7129, 109313.2812, 26996.0215, 65057.3594, 22364.1465, 20178.4102, 36576.2773, 11713.3311, 5880.1211, 37499.0586, 32269.0117, 21454.2383, 20326.0020, 82925.2578, 98421.1875, 1688.8783, 5880.1211, 22695.1094, 22729.4023, 30645.2949, 14698.1924, 105374.4688, 6359.2627, 14608.7148, 47571.0391, 332.7432, 16496.5703, 22722.5742, 37669.1680, 24436.7793, 11686.9717, 5474.6934, 26902.2305, 22766.0117, 81762.3125, 76708.7500, 12963.2412, 33874.2031, 16452.5020, 28716.1914, 26564.0195, 26224.7793, 13929.1133, 11712.7578, 10625.6074, 31321.0332, 52940.3008, 7802.1250, 15743.8750, 8190.5723, 21666.8086, 11358.7305, 27198.2188, 33905.6875, 37294.6055, 22205.4277, 24947.2246, 42319.6016, 38010.2109, 20614.7090, 18671.3691, 13580.1289, 22165.7578, 18954.0781, 9684.5635, 18296.5879, 11236.0693, 69178.4219, 11865.0781, 12300.4707, 25020.0449, 16680.3438, 27448.7617, 27761.4648, 13325.2949, 48301.4922, 301510.6875, 26898.1816, 11496.4043, 15465.7119, 21621.7383, 27554.8203, 81018.3047, 36232.7578, 11257.5547, 57275.6680, 40399.9336, 60529.0820, 47490.6602, 35588.7734, 54275.6367, 30907.4414, 57257.6875, 25404.3125, 12299.0508, 13974.4121, 62868.2578, 25206.6133, 23807.0488, 43295.1641, 16903.5840, 32398.8828, 52410.3125, 93284.7109, 31280.5039, 20618.4121, 32442.9082, 37809.8984, 395335.1250, 11599.6211, 415.6872, 4253.7559, 15518.3125, 701.3163, 16523.4043, 19394.7109, 5883.4570, 13478.3066, 5650.4971, 6489.5542, 23511.5176, 12061.2939, 9758.0215, 16505.1250, 54391.4766, 20521.7969, 14526.6182, 4993.7319, 7000.7524, 16285.8076, 127007.0781, 23970.8789, 91747.0156, 18221.9902, 50649.2148, 55269.8203, 2335.6453, 1096.5641, 5616.0195, 110989.8594, 63452.4141, 15415.2578, 39857.3477, 203409.3281, 38630.5000, 64972.5820, 12896.6260, 25328.8574, 28430.4922, 24783.6953, 4918.8091, 9398.9209, 12042.3672, 49442.2422, 25849.9414, 41135.9453, 17114.4141, 22384.9492, 14725.3691, 34510.1328, 18818.4629, 6046.2344, 43415.2617, 37678.2969, 28529.0195, 22283.3633, 24056.9805, 5540.4512, 50167.4922, 89623.7109, 30809.2422, 8979.4375, 8413.4297, 13728.2930, 226212.0000, 5780.3477, 41792.6875, 9740.1406, 45541.8672, 64428.3516, 27369.1074, 12420.9707, 11364.6797, 26989.3945, 33837.8594, 43038.4414, 70656.6250, 4900.8398, 85910.9688, 18509.0312, 50722.7227, 2169.2539, 57253.4141, 14966.4746, 22573.4160, 71363.8750, 21757.7441, 1266.8602, 68164.4141, 15736.2500, 15809.8525, 8377.4326, 3619.0249, 6729.2373, 81938.7422, 12304.6855, 17371.3203, 17629.7285, 12635.3672, 31683.9609, 46038.6133, 67227.0234, 25613.9453, 7142.1807, 20323.4121, 31573.1816, 28486.9941, 28191.0762, 38204.8086, 15485.2383, 11005.2324, 6573.9214, 18951.1914, 62890.4883, 36532.5859, 33681.2500, 14953.2617, 16976.4375, 22302.7539, 13813.2891, 18069.7617, 10625.6074, 15938.4111, 5312.8037, 23664.1094, 19820.4219, 17708.8828, 20557.5977, 30250.5293, 23411.8125, 29543.3984, 31697.9219, 21342.2305, 35727.9141, 45873.5156, 45882.3828, 13218.3818, 59128.6016, 9451.5342, 61104.9688, 14373.5439, 22418.4355, 38501.4531, 35731.1992, 30553.6641, 9022.8652, 57752.2656, 34803.4375, 21968.5332, 258930.9062, 32390.7773, 22667.9238, 166356.4062, 34577.9609, 22004.3457, 10121.9990, 96242.3594, 8663.2510, 39903.5977, 50066.9648, 16040.3242, 55727.4258, 80293.3594, 17526.5391, 53345.0039, 25591.4180, 56790.1055, 14311.0410, 77567.6562, 106840.9219, 31309.2012, 20894.1055, 14829.5859, 16858.9805, 81885.8750, 46261.5508, 50670.3359, 7117.1616, 225.1498, 30149.5820, 35127.0391, 28399.6270, 21251.2148, 5331.3853, 1359.9685, 25124.6328, 108620.7812, 30752.3125, 12662.6260, 46832.0859, 21516.8555, 27886.2832, 24969.3457, 11186.6602, 21361.2676, 5656.8833, 27909.7578, 499.1965, 66110.5156,…
$ rexp_cat06   <dbl> 1272.77063, 5482.70410, 0.00000, 0.00000, 0.00000, 1272.77063, 0.00000, 36714.53516, 44546.96875, 0.00000, 0.00000, 0.00000, 979.05432, 6363.85303, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 12182.30176, 0.00000, 0.00000, 0.00000, 0.00000, 37267.95703, 0.00000, 0.00000, 3992.99561, 3327.49609, 13309.98438, 0.00000, 17302.98047, 15971.98145, 4607.30225, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 119687.48438, 0.00000, 0.00000, 0.00000, 3036.33887, 0.00000, 3643.60645, 31671.34766, 0.00000, 0.00000, 0.00000, 0.00000, 6539.80664, 0.00000, 3036.33887, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 22909.87109, 15387.79688, 95457.79688, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 6853.37988, 0.00000, 31819.26562, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 49586.16797, 0.00000, 0.00000, 0.00000, 23022.14844, 0.00000, 0.00000, 0.00000, 26564.01758, 73204.91406, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 11774.21680, 0.00000, 3992.99536, 14333.83008, 0.00000, 9316.98926, 15971.98145, 0.00000, 8088.37500, 0.00000, 0.00000, 12545.95312, 10615.80664, 0.00000, 17081.79688, 0.00000, 0.00000, 4825.36670, 0.00000, 627.29767, 0.00000, 25192.27344, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 1266.08862, 0.00000, 0.00000, 1266.08862, 0.00000, 0.00000, 0.00000, 0.00000, 3798.26587, 0.00000, 4431.31006, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 1151.10742, 0.00000, 0.00000, 0.00000, 0.00000, 26564.01758, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 2295.65771, 0.00000, 0.00000, 7848.40234, 0.00000, 6376.82715, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 2429.07104, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 6072.67773, 0.00000, 2429.07104, 0.00000, 0.00000, 2570.08618, 0.00000, 0.00000, 0.00000, 0.00000, 7710.25830, 10280.34473, 0.00000, 0.00000, 0.00000, 6425.21533, 0.00000, 5782.69385, 10379.19434, 0.00000, 15420.51660, 0.00000, 0.00000, 0.00000, 955.41919, 17266.61133, 0.00000, 0.00000, 0.00000, 115110.74219, 42945.16406, 51799.83594, 0.00000, 5755.53711, 32231.00781, 184177.18750, 0.00000, 0.00000, 1996.78601, 0.00000, 0.00000, 1297.91089, 0.00000, 998.39301, 0.00000, 6489.55469, 4542.68799, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 2429.07104, 3643.60645, 2429.07104, 0.00000, 0.00000, 2429.07104, 0.00000, 0.00000, 0.00000, 28308.01953, 2429.07104, 0.00000, 0.00000, 0.00000, 636.38531, 25455.41211, 0.00000, 3818.31177, 0.00000, 12727.70605, 3818.31177, 31819.26367, 0.00000, 0.00000, 0.00000, 2545.54126, 0.00000, 0.00000, 0.00000, 0.00000, 6906.64453, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 5755.53711, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 329678.06250, 21295.97656, 36346.49609, 6654.99219, 29077.19727, 4658.49463, 6654.99219, 16791.05859, 0.00000, 0.00000, 0.00000, 35936.95703, 77300.29688, 9214.60449, 7985.99072, 7453.59131, 0.00000, 0.00000, 0.00000, 3763.78589, 37637.85938, 0.00000, 0.00000, 13511.02637, 2509.19067, 0.00000, 3763.78589, 6272.97656, 0.00000, 25091.90625, 0.00000, 0.00000, 25321.77148, 6330.44287, 7596.53174, 2532.17725, 0.00000, 0.00000, 0.00000, 1266.08862, 0.00000, 0.00000, 0.00000, 1899.13293, 0.00000, 0.00000, 41780.92578, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 5755.53711, 5755.53711, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 30546.16016, 0.00000, 0.00000, 0.00000, 34305.68750, 24436.92773, 0.00000, 0.00000, 0.00000, 37595.27344, 0.00000, 0.00000, 0.00000, 4887.38525, 0.00000, 54513.14453, 3432.67798, 0.00000, 4400.86914, 0.00000, 0.00000, 0.00000, 0.00000, 880.17383, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 2772.54761, 0.00000, 0.00000, 95883.98438, 0.00000, 6425.21533, 0.00000, 0.00000, 0.00000, 6425.21533, 0.00000, 0.00000, 2570.08618, 69392.32812, 0.00000, 0.00000, 32126.07617, 0.00000, 0.00000, 0.00000, 0.00000, 3453.32227, 3453.32227, 0.00000, 0.00000, 5755.53711, 26475.47070, 0.00000, 3453.32227, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 2595.82178, 9235.13477, 0.00000, 2595.82178, 42132.18750, 0.00000, 27995.93750, 42182.10547, 3893.73267, 20467.05664, 28454.20117, 35892.23047, 0.00000, 18170.75195, 20966.25391, 0.00000, 85.01749, 0.00000, 6072.67773, 13359.89062, 0.00000, 0.00000, 0.00000, 6820.08398, 6072.67773, 0.00000, 0.00000, 24290.71094, 0.00000, 0.00000, 607.26776, 0.00000, 0.00000, 2545.54126, 33777.37500, 1272.77063, 6363.85303, 6363.85303, 67456.83594, 0.00000, 0.00000, 2545.54126, 91052.04688, 60211.83594, 8811.48828, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 1199.93127, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 5999.65625, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 0.00000, 6654.99219, 11978.98633, …
$ rexp_cat07   <dbl> 50910.8242, 3230.2925, 0.0000, 42504.8750, 0.0000, 0.0000, 27638.4922, 61767.8086, 70567.3672, 0.0000, 0.0000, 0.0000, 169865.9219, 0.0000, 7342.9072, 0.0000, 0.0000, 6060.3525, 0.0000, 102082.7656, 4637.8037, 4642.5298, 2576.5576, 0.0000, 16399.2520, 0.0000, 24364.6035, 121823.0156, 6869.2959, 3076.2114, 5668.4268, 0.0000, 216510.3438, 55348.6211, 603505.0625, 32411.6289, 0.0000, 4330.6440, 5881.6943, 10084.1572, 142226.3906, 2887.0959, 44537.2539, 0.0000, 324516.1250, 1642377.5000, 24008.7129, 15971.9814, 31449.0137, 145744.2656, 0.0000, 8875.4521, 5651.2354, 79221.6953, 10274.9736, 0.0000, 0.0000, 14574.4258, 2107.5789, 4671.2905, 0.0000, 17750.9043, 29148.8516, 110963.8125, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3089.1787, 0.0000, 5521.5850, 0.0000, 0.0000, 101821.6484, 0.0000, 76366.2344, 69066.4453, 0.0000, 25080.8262, 158209.1094, 50910.9297, 0.0000, 0.0000, 6017.9600, 0.0000, 0.0000, 0.0000, 184177.1875, 3633.3960, 0.0000, 10712.2090, 190717.2969, 0.0000, 89553.5703, 3043.3657, 0.0000, 0.0000, 0.0000, 106479.8750, 0.0000, 0.0000, 51936.8906, 0.0000, 0.0000, 0.0000, 7562.1787, 3360.9680, 0.0000, 184261.7969, 312303.5312, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 4082.0522, 54098.8945, 8906.8066, 30110.2871, 0.0000, 0.0000, 0.0000, 119727.4375, 13758.4814, 2894.9475, 150036.1875, 0.0000, 0.0000, 5843.4858, 0.0000, 2406.9377, 28909.5918, 4795.5918, 3432.8733, 27493.3906, 0.0000, 0.0000, 13962.5303, 4825.4062, 505235.8125, 0.0000, 3745.3359, 1596.5067, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 368354.3750, 15938.4111, 0.0000, 230221.4844, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 291488.5312, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 465913.9688, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 164485.5156, 205606.8906, 0.0000, 413263.3750, 417736.6562, 15420.5166, 128504.3047, 0.0000, 0.0000, 108378.2734, 51401.7227, 0.0000, 0.0000, 205606.8906, 33628.4453, 3664.4573, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3895.3486, 0.0000, 90776.3281, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 15574.9307, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 311498.6250, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 815447.3125, 0.0000, 15979.7451, 0.0000, 0.0000, 364930.1250, 0.0000, 0.0000, 0.0000, 145744.2656, 2947.8347, 1975.8552, 83007.8203, 447040.4375, 248102.2031, 3082.4919, 0.0000, 415937.9375, 0.0000, 222734.8438, 0.0000, 2910.2261, 0.0000, 27511.4258, 412132.0312, 3213.9341, 0.0000, 0.0000, 0.0000, 0.0000, 61092.9883, 0.0000, 3895.3486, 3282.5237, 18417.7188, 7993.4712, 0.0000, 0.0000, 27626.5781, 26564.0176, 0.0000, 0.0000, 2632.0398, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 159719.8125, 445490.6562, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 464971.8438, 0.0000, 0.0000, 175077.4844, 10954.9375, 93508.1406, 0.0000, 0.0000, 26619.9688, 0.0000, 0.0000, 409050.7500, 0.0000, 0.0000, 0.0000, 0.0000, 349794.6250, 0.0000, 170186.1562, 0.0000, 0.0000, 0.0000, 1788.8159, 0.0000, 0.0000, 58063.7773, 16492.9941, 0.0000, 11635.4424, 0.0000, 22400.0293, 0.0000, 1316.9833, 128556.6875, 5355.5562, 0.0000, 0.0000, 11782.2246, 260198.9844, 10614.8076, 19806.0156, 0.0000, 6866.4487, 1676.3320, 3592.1399, 4993.7812, 0.0000, 0.0000, 4369.5581, 5086.7544, 0.0000, 0.0000, 0.0000, 4870.0698, 0.0000, 4923.7852, 276265.7812, 0.0000, 30076.2188, 8594.4697, 5168.4116, 40223.5273, 247146.0938, 0.0000, 28242.4180, 0.0000, 0.0000, 2584.2058, 3617.8882, 0.0000, 0.0000, 2322.8296, 0.0000, 5438.1670, 45769.0391, 22884.5195, 0.0000, 0.0000, 251729.7188, 0.0000, 61260.0977, 141386.3438, 0.0000, 0.0000, 594204.7500, 0.0000, 0.0000, 6501.0151, 183076.1562, 263096.6250, 51401.7227, 51401.7227, 0.0000, 51401.7227, 24044.9551, 0.0000, 51401.7227, 0.0000, 0.0000, 0.0000, 51401.7227, 25700.8613, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 9563.1074, 0.0000, 0.0000, 0.0000, 10941.7451, 7896.1187, 93549.3516, 0.0000, 0.0000, 5618.0034, 3193.0134, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 27423.7598, 0.0000, 51916.4375, 0.0000, 121454.2109, 1080.0677, 77874.6562, 0.0000, 0.0000, 189893.9531, 12337.1719, 17527.0566, 0.0000, 1800.1129, 18668.0273, 5605.5483, 179343.2969, 0.0000, 73402.0391, 3463.3965, 0.0000, 0.0000, 63062.4219, 242907.1094, 0.0000, 0.0000, 0.0000, 68013.9922, 0.0000, 0.0000, 112535.2578, 407286.5938, 0.0000, 0.0000, 20364.3301, 15273.2471, 101821.6484, 88221.2578, 76366.2344, 226004.6094, 0.0000, 0.0000, 106716.9219, 259889.5312, 57175.9922, 0.0000, 0.0000, 396105.5625, 0.0000, 190591.7344, 0.0000, 0.0000, 0.0000, 56951.2305, 4160.5547, 0.0000, 0.0000, 15787.5967, 1371.8384, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 12365.0498, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3603.2800, 0.0000, 133099.8438, 0.0000, 266199.6875, 0.0000, 0.0000, 0.0000, 4173.9038, 71526.3047, 0.0000, 0.0000, 0.0000, 956.2225, 0.0000, 4082.0522, 35128.6…
$ rexp_cat08   <dbl> 0.000, 0.000, 23497.303, 23497.303, 0.000, 0.000, 23497.303, 58743.258, 46994.605, 32896.223, 5874.326, 5874.326, 35245.953, 11748.651, 0.000, 0.000, 0.000, 11245.202, 0.000, 0.000, 0.000, 0.000, 11245.202, 0.000, 5622.601, 0.000, 78716.414, 101206.812, 0.000, 0.000, 0.000, 0.000, 51601.789, 24572.279, 270295.062, 49144.559, 24572.279, 61430.699, 36858.418, 73716.836, 0.000, 73716.836, 0.000, 86002.977, 0.000, 0.000, 307153.500, 294867.344, 0.000, 0.000, 0.000, 0.000, 0.000, 22422.193, 31391.072, 0.000, 0.000, 22422.193, 0.000, 56055.484, 0.000, 0.000, 8968.878, 89688.773, 0.000, 0.000, 5874.326, 23497.303, 0.000, 0.000, 11748.651, 5874.326, 35245.953, 0.000, 35245.953, 0.000, 0.000, 35245.953, 11748.651, 35245.953, 8500.485, 10625.607, 53128.035, 31876.822, 31876.822, 0.000, 0.000, 42502.430, 31876.822, 0.000, 0.000, 0.000, 0.000, 0.000, 85004.859, 10625.607, 36858.418, 0.000, 0.000, 30715.350, 0.000, 0.000, 14743.368, 0.000, 0.000, 29486.736, 0.000, 0.000, 0.000, 122861.398, 190435.172, 61430.699, 6948.528, 0.000, 0.000, 17371.320, 0.000, 0.000, 0.000, 0.000, 0.000, 34742.641, 0.000, 28952.199, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 7012.183, 17530.457, 0.000, 23373.943, 35060.914, 0.000, 58434.859, 14024.366, 17530.457, 0.000, 0.000, 11686.972, 23373.943, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 10625.607, 0.000, 0.000, 0.000, 29751.699, 0.000, 26564.018, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 32963.289, 0.000, 9418.083, 9418.083, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 33633.293, 0.000, 0.000, 0.000, 11211.097, 5605.548, 22422.193, 0.000, 56055.484, 7847.768, 0.000, 0.000, 0.000, 0.000, 77102.586, 71171.617, 0.000, 59309.680, 0.000, 0.000, 42702.969, 11861.936, 0.000, 35585.809, 53378.711, 11861.936, 0.000, 41516.777, 118619.359, 35585.809, 0.000, 0.000, 12750.729, 10625.607, 0.000, 0.000, 0.000, 0.000, 79692.055, 47815.230, 85004.859, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 33546.004, 0.000, 0.000, 10782.645, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 291488.531, 22422.193, 168166.453, 0.000, 39238.840, 168166.453, 0.000, 0.000, 0.000, 56055.484, 78477.680, 0.000, 0.000, 298215.188, 22422.193, 0.000, 23497.303, 23497.303, 93989.211, 0.000, 0.000, 176229.766, 0.000, 0.000, 23497.303, 23497.303, 23497.303, 5874.326, 32896.223, 35245.953, 5874.326, 0.000, 127507.289, 63753.645, 63753.645, 10625.607, 8500.485, 31876.822, 10625.607, 119006.797, 0.000, 0.000, 42502.430, 10625.607, 106256.070, 0.000, 21251.215, 0.000, 24572.279, 0.000, 18429.209, 0.000, 0.000, 61430.699, 0.000, 36858.418, 0.000, 0.000, 24572.279, 30715.350, 61430.699, 0.000, 0.000, 0.000, 57904.398, 28952.199, 13897.056, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 11580.880, 23161.760, 0.000, 0.000, 0.000, 0.000, 23161.760, 37398.309, 23373.943, 0.000, 0.000, 0.000, 0.000, 0.000, 11686.972, 0.000, 0.000, 0.000, 0.000, 23373.943, 0.000, 23373.943, 0.000, 21251.215, 10625.607, 21251.215, 21251.215, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 47815.230, 0.000, 0.000, 0.000, 0.000, 16917.873, 33835.746, 112785.820, 11278.582, 56392.910, 0.000, 22557.164, 11278.582, 60904.344, 16917.873, 0.000, 22557.164, 0.000, 33835.746, 0.000, 63372.516, 31686.258, 42248.344, 10562.086, 211241.719, 31686.258, 0.000, 63372.516, 0.000, 21124.172, 0.000, 0.000, 0.000, 26405.215, 84496.688, 52810.430, 0.000, 53378.711, 0.000, 47447.742, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 23723.871, 41516.777, 17792.904, 0.000, 0.000, 26096.260, 26564.018, 31876.822, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 42502.430, 37189.625, 31876.822, 0.000, 0.000, 23961.432, 83865.016, 0.000, 50319.008, 0.000, 17971.074, 23961.432, 17971.074, 79072.727, 17971.074, 79072.727, 0.000, 33546.004, 11980.716, 83865.016, 0.000, 33633.293, 112110.969, 0.000, 5605.548, 33633.293, 0.000, 0.000, 50449.938, 16816.646, 0.000, 0.000, 28027.742, 0.000, 0.000, 22422.193, 185628.688, 0.000, 0.000, 23497.303, 35245.953, 11748.651, 0.000, 0.000, 23497.303, 35245.953, 0.000, 0.000, 140983.812, 117486.516, 46994.605, 0.000, 0.000, 110762.883, 0.000, 44305.156, 0.000, 0.000, 11076.289, 5538.145, 0.000, 0.000, 44305.156, 33228.867, 5538.145, 0.000, 0.000, 0.000, 0.000, 72488.227, 49144.559, 0.000, 24572.279, 24572.279, 12286.140, 0.000, 0.000, 24572.279, 0.000, 0.000, 12286.140, 0.000, 0.000, 0.000, 0.000, 57904.398, 34742.641, 0.000, 0.000, 57904.398, 6948.528, 0.000, 34742.641, 0.000, 23161.760, 46323.520, 0.000, 0.000, 34742.641, 27794.111, 23723.871, 47447.742, 23373.943, 0.000, 0.000, 30841.033, 37398.309, 0.000, 17530.457, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 79692.055, 26564.018, 0.000, 63753.645, 0.000, 0.000, 26564.018, 31876.822, 0.000, 0.000, 0.000, 0.000, 26564.018, 0.000, 0.000, 35317.812, 0.000, 0.000, 5886.302, 0.000, 29431.510, 17658.906, 0.000, 0.000, 29431.510, 0.000, 0.000, 0.000, 32963.289, 0.000, 56508.496, 0.000, 0.000, 0.…
$ rexp_cat09   <dbl> 0.0000, 0.0000, 1248.7662, 2202.8721, 0.0000, 0.0000, 513.0583, 2140.7422, 392.2430, 0.0000, 0.0000, 0.0000, 20436.4785, 0.0000, 0.0000, 1045.9812, 853.7532, 3604.1230, 0.0000, 876.0143, 0.0000, 2087.9565, 0.0000, 0.0000, 29631.7129, 0.0000, 0.0000, 0.0000, 2342.6360, 2342.7502, 1802.0615, 730.7848, 14567.8789, 24146.8340, 118005.4375, 0.0000, 0.0000, 0.0000, 0.0000, 24389.6934, 0.0000, 6891.0571, 11774.2178, 0.0000, 74338.3203, 65981.7969, 24060.2617, 0.0000, 0.0000, 0.0000, 595.8147, 0.0000, 0.0000, 18231.1484, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 36937.7734, 3671.4536, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1967.4572, 0.0000, 0.0000, 522.9906, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 3541.8691, 17290.4902, 14496.7891, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 9684.3252, 0.0000, 15101.6514, 13282.0088, 0.0000, 0.0000, 0.0000, 14273.0820, 4740.5161, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 6143.0698, 2281.2332, 31257.8281, 0.0000, 13278.1592, 0.0000, 4825.3667, 0.0000, 0.0000, 3102.9785, 0.0000, 2297.7080, 0.0000, 12693.9688, 3870.5103, 25313.1797, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 4869.5718, 0.0000, 0.0000, 0.0000, 0.0000, 900.6438, 0.0000, 1064.7517, 0.0000, 0.0000, 0.0000, 0.0000, 2434.7859, 0.0000, 2959.3696, 0.0000, 3064.9871, 0.0000, 0.0000, 484.0276, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 7117.5581, 0.0000, 1512.0715, 0.0000, 788.5873, 0.0000, 10900.0586, 0.0000, 4905.2515, 2207.3633, 35084.5000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2335.6453, 766.0475, 0.0000, 0.0000, 0.0000, 851.1639, 0.0000, 0.0000, 0.0000, 76001.0469, 0.0000, 0.0000, 0.0000, 766.0475, 0.0000, 0.0000, 1700.3331, 0.0000, 4942.4731, 0.0000, 1828.2544, 0.0000, 0.0000, 660.0419, 0.0000, 4448.2261, 0.0000, 0.0000, 0.0000, 56838.4414, 2833.8887, 0.0000, 0.0000, 0.0000, 2108.1770, 4427.3364, 4270.5347, 0.0000, 0.0000, 17442.3984, 968.0551, 20588.7754, 1245.5726, 0.0000, 1791.9504, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 998.3930, 0.0000, 0.0000, 0.0000, 17271.3320, 0.0000, 81747.5859, 0.0000, 0.0000, 9619.4062, 0.0000, 0.0000, 0.0000, 49048.5508, 17480.9941, 0.0000, 33777.2969, 167332.5938, 2669.2095, 0.0000, 0.0000, 23932.2734, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1783.9518, 2951.1855, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 17851.9121, 36570.3047, 0.0000, 0.0000, 682.3757, 0.0000, 0.0000, 11983.6406, 0.0000, 23928.7793, 0.0000, 0.0000, 35955.9297, 0.0000, 0.0000, 0.0000, 0.0000, 1893.6360, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1761.1401, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 9925.8555, 0.0000, 2637.7151, 0.0000, 0.0000, 10801.5361, 0.0000, 0.0000, 0.0000, 0.0000, 1075.1418, 0.0000, 0.0000, 0.0000, 6554.9956, 0.0000, 0.0000, 0.0000, 0.0000, 7304.3574, 0.0000, 0.0000, 0.0000, 1391.2544, 0.0000, 0.0000, 3652.0005, 0.0000, 3745.7119, 0.0000, 0.0000, 0.0000, 1362.2164, 0.0000, 1601.4506, 0.0000, 0.0000, 0.0000, 4150.4248, 0.0000, 0.0000, 5959.6968, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 434.5858, 8966.1123, 33339.4258, 1662.8179, 1342.6384, 0.0000, 10567.5049, 0.0000, 0.0000, 4699.4092, 41128.9414, 47100.7070, 0.0000, 18797.6367, 0.0000, 3785.0200, 86083.2422, 2750.4089, 0.0000, 13951.3125, 6601.3037, 22445.3984, 561.3229, 65745.1484, 962.2679, 0.0000, 42650.5742, 1961.1188, 4400.8691, 38594.9102, 48409.5586, 75388.2969, 0.0000, 0.0000, 1530.9802, 0.0000, 0.0000, 0.0000, 1523.5454, 0.0000, 0.0000, 2422.7158, 24712.3672, 1523.5454, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 28546.3066, 41187.1211, 322.6851, 2959.3696, 0.0000, 0.0000, 2554.1558, 0.0000, 955.3260, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 230.8202, 0.0000, 0.0000, 2139.3340, 0.0000, 0.0000, 35024.1289, 0.0000, 0.0000, 5942.5947, 0.0000, 1874.8795, 1021.3967, 0.0000, 4163.2485, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 445.9879, 0.0000, 0.0000, 6452.7246, 0.0000, 0.0000, 13802.5752, 13767.2793, 4362.8696, 0.0000, 0.0000, 34812.0859, 0.0000, 25613.5176, 0.0000, 0.0000, 0.0000, 1028.2968, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 2559.5354, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 879.2384, 0.0000, 0.0000, 0.0000, 446.2339, 0.0000, 3422.7629, 669.3509, 0.0000, 0.0000, 1688.8783, 0.0000, 0.0000, 0.0000, 3530.2068, 0.0000, 1391.2544, 0.0000, 0.0000, 440.4938, 0.0000, 0.0000, 1365.6431, 0.0000, 2318.7573, 7045.6616, 0.0000, 0.0000, 0.0000, 0.0000, 3541.8691, 29592.0781, 0.0000, 0.0000, 0.0000, 2108.1770, 0.0000, 0.0000, 0.0000, 0.0000, 1501.2267, 0.0000, 0.0000, 0.0000, 2951.4478, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.000…
$ rexp_cat10   <dbl> 4405.7441, 16154.3955, 2888.2102, 6168.0420, 12238.1787, 0.0000, 0.0000, 17622.9766, 2937.1628, 14979.5303, 4699.4604, 47484.1328, 13109.5371, 0.0000, 50910.8242, 0.0000, 17523.7734, 7496.8013, 24739.4434, 24364.6035, 4685.5005, 9839.5518, 0.0000, 0.0000, 10682.9414, 11676.2676, 35141.2539, 72906.3906, 10401.8115, 28394.1348, 0.0000, 0.0000, 0.0000, 35834.5742, 273366.6250, 98801.0391, 18941.1328, 44025.3359, 16115.3203, 0.0000, 14845.7520, 0.0000, 192175.7031, 32404.6934, 4607.3022, 337561.6875, 202465.3438, 0.0000, 0.0000, 0.0000, 0.0000, 28588.2969, 44844.3867, 32063.7383, 21600.0469, 15882.3877, 1868.5162, 0.0000, 16816.6465, 11771.6523, 0.0000, 19058.8652, 0.0000, 1445764.3750, 20560.1406, 0.0000, 84629.4531, 113570.2969, 22518.2480, 20560.1406, 7832.4346, 3691.0347, 0.0000, 17133.4492, 0.0000, 0.0000, 13041.0029, 4895.2715, 0.0000, 0.0000, 11156.8877, 13104.9150, 99836.4375, 392262.0000, 2656.4019, 3984.6028, 23464.8828, 0.0000, 30991.3535, 0.0000, 12396.5420, 42502.4297, 3099.1355, 17709.3457, 189490.0000, 3364.7756, 87129.2109, 0.0000, 18429.2090, 7781.2217, 5631.1475, 74535.9141, 4607.3022, 0.0000, 17917.2871, 12593.2930, 0.0000, 7474.0684, 0.0000, 19350.6699, 44537.2578, 6143.0698, 3667.2786, 8106.6157, 5790.4399, 0.0000, 13163.5996, 0.0000, 0.0000, 6272.9766, 12063.4160, 19784.0020, 0.0000, 66155.7734, 0.0000, 0.0000, 0.0000, 2798.7126, 1947.8286, 7742.6187, 6330.4429, 0.0000, 0.0000, 4869.5718, 32431.3477, 7304.3574, 12173.9287, 0.0000, 16556.5430, 0.0000, 17705.7617, 0.0000, 17238.2832, 10226.1006, 8411.9395, 144508.2500, 0.0000, 2700.6750, 0.0000, 25678.5508, 3187.6821, 13990.3828, 3497.5957, 0.0000, 0.0000, 0.0000, 52773.8477, 8411.9395, 17266.6113, 0.0000, 4414.7266, 6867.3521, 1177.2604, 7750.2974, 8338.9277, 3924.2012, 6867.3521, 113115.1016, 11576.3936, 3924.2012, 0.0000, 0.0000, 0.0000, 0.0000, 3924.2012, 0.0000, 0.0000, 98564.2266, 0.0000, 8595.1748, 18311.4590, 0.0000, 19619.4199, 83616.1016, 0.0000, 48581.4219, 0.0000, 51244.0547, 0.0000, 0.0000, 6352.9551, 42041.6133, 0.0000, 6425.2153, 52548.3750, 3439.9614, 160729.2344, 67613.0312, 373650.9688, 3756.2798, 19769.8926, 6019.9326, 120102.1016, 0.0000, 0.0000, 0.0000, 23822.7207, 3558.5808, 11511.0742, 3364.7756, 0.0000, 3276.2288, 178421.6562, 21251.2148, 0.0000, 0.0000, 1593.8411, 0.0000, 7969.2056, 10625.6074, 17709.3457, 11068.3408, 17178.0645, 0.0000, 69288.4766, 0.0000, 2296.3040, 0.0000, 7038.6709, 2995.1790, 3494.3755, 4592.6079, 0.0000, 11581.3594, 0.0000, 0.0000, 0.0000, 3694.0542, 3095.0183, 6190.0366, 233611.2344, 0.0000, 823548.5000, 2288.9324, 16583.0820, 165830.8125, 0.0000, 1027.6838, 0.0000, 95761.4531, 425087.4375, 280.2774, 10743.9678, 1841516.1250, 75020.9219, 268132.0625, 122381.7891, 158998.4219, 278834.6562, 0.0000, 3818.3118, 0.0000, 0.0000, 40630.7539, 7342.9072, 17133.4492, 0.0000, 0.0000, 0.0000, 18504.1270, 2447.6357, 20070.6133, 23022.1484, 26918.2051, 10625.6074, 0.0000, 51976.9297, 0.0000, 0.0000, 141851.8594, 4870.0698, 0.0000, 0.0000, 121486.1094, 0.0000, 0.0000, 9917.2334, 0.0000, 78324.1406, 0.0000, 12490.9092, 2559.6125, 7474.0684, 0.0000, 0.0000, 5119.2251, 5938.3008, 46687.3320, 176142.2969, 0.0000, 0.0000, 0.0000, 155163.7031, 3992.9954, 0.0000, 13655.7871, 0.0000, 6755.5132, 15441.1729, 11677.3867, 0.0000, 13993.5625, 0.0000, 0.0000, 8396.1377, 122081.7734, 8685.6602, 13993.5625, 0.0000, 0.0000, 17506.1094, 35645.2656, 20452.2012, 0.0000, 0.0000, 20744.3750, 10031.3174, 24250.4668, 31457.4336, 0.0000, 0.0000, 0.0000, 18309.5898, 2921.7429, 10615.6660, 2921.7429, 0.0000, 1903.7546, 3231.9556, 0.0000, 29220.4199, 0.0000, 7083.7383, 0.0000, 85447.5938, 0.0000, 0.0000, 9474.5000, 15495.6768, 32231.0078, 19923.0137, 10625.6074, 0.0000, 25282.8203, 164009.3750, 141546.2031, 0.0000, 17857.7539, 0.0000, 0.0000, 0.0000, 61938.2109, 7988.9956, 23027.1055, 7190.0962, 8458.9365, 141922.1562, 101084.2891, 20508.0508, 1557907.6250, 17867.5293, 6117.2080, 5985.1821, 15975.1553, 0.0000, 0.0000, 111782.0781, 0.0000, 90217.8203, 0.0000, 74110.6328, 32038.3262, 68037.4375, 86873.1562, 11367.6885, 0.0000, 8501.0537, 5140.1724, 16191.5430, 42999.5195, 43493.7656, 0.0000, 24109.3848, 0.0000, 111798.7500, 56344.1953, 3657.4302, 0.0000, 0.0000, 0.0000, 6995.1914, 26829.6582, 0.0000, 4781.5234, 4391.9175, 9102.6035, 11953.8076, 19923.0137, 2656.4019, 40731.4922, 2266.7961, 0.0000, 9164.5859, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 5041.8848, 24959.8262, 16373.6455, 1247.9912, 28454.2012, 14277.0205, 3494.3755, 10682.8057, 14526.6182, 19368.8242, 7388.1084, 137578.5625, 16473.4844, 0.0000, 6726.6582, 7941.1938, 25692.0977, 58391.1289, 0.0000, 0.0000, 16723.2207, 13079.6133, 45311.5156, 179377.5469, 15415.2588, 105944.8672, 11678.2266, 6820.0840, 28775.1484, 20658.0449, 50739.4883, 11259.1240, 8028.2451, 0.0000, 0.0000, 529178.8750, 32602.5078, 10573.7861, 290191.6875, 0.0000, 22028.7207, 22028.7207, 74016.5078, 0.0000, 0.0000, 0.0000, 4984.3301, 18921.9922, 21691.0645, 19383.5059, 7199.5874,…
$ rexp_cat11   <dbl> 43172.375, 0.000, 0.000, 12727.707, 0.000, 0.000, 5091.083, 0.000, 10182.165, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 14618.763, 9745.842, 0.000, 0.000, 12182.303, 24364.605, 14618.763, 0.000, 0.000, 0.000, 14618.763, 0.000, 0.000, 14618.763, 12182.303, 5323.994, 0.000, 0.000, 0.000, 5323.994, 0.000, 5323.994, 0.000, 0.000, 42259.203, 21295.977, 0.000, 0.000, 133099.844, 0.000, 0.000, 9716.284, 0.000, 0.000, 0.000, 0.000, 53439.562, 0.000, 0.000, 9716.284, 9716.284, 4858.142, 14574.426, 0.000, 0.000, 7287.213, 0.000, 0.000, 0.000, 7636.624, 10182.165, 10182.165, 0.000, 12727.707, 0.000, 12727.707, 0.000, 10182.165, 25455.414, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 32231.008, 13813.289, 0.000, 0.000, 4604.430, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 19964.979, 0.000, 0.000, 15971.981, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 21295.977, 0.000, 58563.934, 0.000, 0.000, 0.000, 10036.763, 7527.572, 0.000, 12545.954, 5018.381, 15055.144, 12545.954, 0.000, 0.000, 17564.334, 25091.908, 20073.525, 0.000, 0.000, 25091.908, 7596.532, 32918.305, 10128.709, 10128.709, 0.000, 0.000, 0.000, 0.000, 10128.709, 20257.418, 10128.709, 0.000, 0.000, 0.000, 30386.127, 35450.480, 32231.008, 0.000, 2620.407, 0.000, 0.000, 0.000, 18417.719, 0.000, 0.000, 0.000, 13813.289, 13813.289, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 12753.655, 5101.461, 7652.192, 0.000, 30608.770, 25507.311, 10202.923, 0.000, 0.000, 7652.192, 7652.192, 0.000, 0.000, 0.000, 34006.996, 109308.195, 0.000, 0.000, 0.000, 43723.277, 0.000, 0.000, 0.000, 12145.356, 0.000, 9716.284, 0.000, 29148.852, 0.000, 20560.689, 0.000, 2925.302, 35981.207, 0.000, 0.000, 0.000, 0.000, 0.000, 20560.689, 15420.517, 0.000, 0.000, 10280.345, 20560.689, 38979.641, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 23022.150, 0.000, 9208.859, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 46724.793, 10383.287, 0.000, 0.000, 0.000, 0.000, 14574.426, 24290.713, 0.000, 0.000, 0.000, 0.000, 19432.568, 0.000, 46557.199, 0.000, 34006.996, 0.000, 24290.713, 36436.066, 29148.852, 0.000, 0.000, 25455.414, 0.000, 0.000, 0.000, 0.000, 0.000, 35637.578, 5091.083, 0.000, 7636.624, 0.000, 25455.414, 0.000, 0.000, 0.000, 13813.289, 0.000, 0.000, 32231.008, 9208.859, 13813.289, 0.000, 23022.150, 32231.008, 0.000, 20719.936, 9208.859, 0.000, 50648.727, 0.000, 9208.859, 0.000, 6143.070, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 10647.988, 3029.916, 0.000, 0.000, 0.000, 0.000, 10036.763, 46369.844, 37637.859, 10036.763, 10036.763, 0.000, 7527.572, 0.000, 0.000, 22582.717, 12545.954, 0.000, 0.000, 0.000, 15055.144, 35128.668, 20257.418, 2882.153, 7596.532, 0.000, 0.000, 12660.887, 0.000, 25321.773, 0.000, 5064.354, 5064.354, 5064.354, 0.000, 25321.773, 10128.709, 2882.153, 4604.430, 9208.859, 9208.859, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 13813.289, 0.000, 32231.008, 6906.645, 0.000, 0.000, 0.000, 0.000, 4887.385, 9774.771, 14662.156, 14662.156, 19549.541, 27547.082, 42386.961, 0.000, 24436.930, 14662.156, 2932.431, 25414.404, 41054.039, 0.000, 59870.473, 49755.375, 18307.615, 60444.656, 0.000, 0.000, 76576.656, 32038.326, 9153.808, 0.000, 22884.521, 32038.326, 0.000, 17717.047, 27461.424, 18307.615, 28056.420, 0.000, 15420.517, 25700.863, 28270.947, 25700.863, 25700.863, 15420.517, 47495.191, 10280.345, 0.000, 25700.863, 17990.604, 35981.207, 17990.604, 0.000, 0.000, 6906.645, 0.000, 9208.859, 9208.859, 2620.407, 0.000, 0.000, 32231.008, 18417.719, 0.000, 13813.289, 18417.719, 4604.430, 4604.430, 23022.150, 0.000, 12979.110, 0.000, 28554.041, 0.000, 31149.861, 0.000, 36341.504, 10383.287, 0.000, 7787.465, 0.000, 25958.221, 36341.504, 0.000, 0.000, 0.000, 9716.283, 0.000, 19432.566, 0.000, 24290.711, 20647.102, 0.000, 0.000, 24290.711, 0.000, 0.000, 0.000, 9716.284, 12145.355, 0.000, 0.000, 19091.559, 10182.165, 5091.083, 25455.414, 7636.624, 5091.083, 0.000, 0.000, 39455.887, 0.000, 0.000, 0.000, 25455.412, 0.000, 20364.330, 39404.977, 23998.627, 19198.900, 0.000, 23998.627, 11999.313, 0.000, 0.000, 4799.725, 7199.587, 19198.900, 9599.450, 0.000, 2731.551, 0.000, 23998.627, 23998.627, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 7985.991, 0.000, 0.000, 10647.988, 11978.985, 0.000, 0.000, 0.000, 0.000, 0.000, 22582.717, 0.000, 0.000, 5018.381, 0.000, 15055.144, 0.000, 35128.668, 0.000, 0.000, 10036.763, 0.000, 25091.908, 0.000, 23130.775, 0.000, 0.000, 0.000, 5140.172, 23485.990, 0.000, 0.000, 0.000, 10280.345, 17725.240, 0.000, 20560.689, 0.000, 0.000, 0.000, 0.000, 32231.008, 0.000, 0.000, 0.000, 0.000, 2620.407, 0.000, 13813.289, 9208.859, 27626.578, 0.000, 32231.008, 0.000, 0.000, 0.000, 33159.500, 0.000, 5101.461, 0.000, 0.000, 25507.311, 25507.311, 10202.923, 5101.461, 0.000, 30608.770, 20405.846, 0.000, 14985.543, 48463.887, 86724.852, 24290.711, 9716.283, 0.000, 12145.355, 19432.566, 24290.711, 0.000, 21861.639, 34006.992, 2…
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$ expaggpc     <dbl> 102056.01, 172945.16, 95647.66, 462444.44, 187255.64, 429655.22, 247878.50, 222362.64, 180662.94, 90252.31, 98351.88, 203142.27, 193854.05, 211475.52, 315792.34, 253501.00, 114116.88, 111899.85, 107727.28, 220807.73, 289810.97, 322669.25, 262434.09, 244746.70, 209040.11, 181380.36, 171641.00, 379464.00, 276502.88, 93575.91, 256131.27, 657157.69, 287523.88, 208692.53, 1781805.62, 251610.98, 168902.06, 251750.86, 171174.69, 902876.62, 243160.09, 314288.34, 204436.09, 149936.08, 693683.69, 446139.22, 245565.95, 365897.84, 543234.62, 472658.62, 236231.92, 93913.62, 200267.00, 244855.92, 179313.17, 110098.48, 161419.00, 206588.55, 69985.59, 205961.77, 639155.00, 185082.45, 106824.12, 654985.06, 206827.45, 278279.34, 78743.11, 138263.41, 112736.60, 179590.28, 96211.38, 100340.87, 316666.22, 275290.34, 157323.56, 156707.52, 127342.95, 228728.03, 269023.50, 364307.66, 177703.80, 109047.49, 231389.45, 266933.00, 267283.12, 196372.39, 121728.62, 283827.78, 179075.89, 405857.09, 158724.03, 182084.05, 232268.02, 125637.29, 191814.30, 290201.00, 203018.42, 323059.31, 110158.35, 212466.09, 311876.38, 139123.27, 134706.42, 388288.84, 222449.38, 132072.84, 82480.45, 243914.88, 59067.95, 330066.44, 440987.16, 367022.25, 322973.56, 393112.38, 202684.17, 370461.09, 376106.97, 312163.81, 219696.91, 216594.25, 490141.62, 160093.88, 520319.53, 262886.78, 475511.00, 152042.56, 111139.25, 169442.64, 195245.09, 198473.30, 296630.97, 513773.00, 260507.59, 175022.38, 143644.64, 200907.17, 200668.81, 305638.47, 232941.95, 244535.31, 85727.16, 60731.00, 287549.09, 247404.80, 395266.56, 619567.12, 152445.89, 211058.00, 208166.14, 125740.02, 141124.25, 133655.20, 100176.77, 380326.12, 221035.69, 307225.91, 118435.75, 187533.38, 206579.55, 252655.98, 197193.08, 168736.91, 299412.62, 242405.89, 181684.78, 186902.19, 201760.66, 202240.17, 121961.54, 125059.79, 499820.97, 192966.73, 133503.94, 151086.77, 173877.50, 246620.55, 983670.12, 541987.19, 673116.06, 309474.75, 101639.97, 406769.25, 283578.44, 210307.09, 226822.45, 214144.48, 2378597.25, 132234.45, 220005.50, 212511.92, 221947.19, 341961.78, 1903362.62, 507583.06, 130027.01, 254539.83, 200234.64, 194322.98, 399115.81, 127034.13, 233413.25, 344320.28, 338349.81, 288910.44, 117826.66, 312145.59, 316219.06, 302992.69, 140965.73, 217808.67, 204207.69, 129534.14, 292363.62, 200580.67, 194167.08, 165305.98, 364464.19, 375505.59, 530271.88, 231551.11, 43485.86, 157681.78, 126519.33, 75074.98, 111006.44, 294011.84, 38839.98, 65938.02, 73194.23, 193493.55, 153518.73, 114664.51, 146379.55, 88616.98, 340545.81, 189285.39, 176580.92, 93837.04, 156514.53, 137400.12, 469998.94, 789031.56, 438439.66, 82086.02, 188112.03, 269791.84, 232942.52, 76730.61, 332361.53, 355011.59, 262465.00, 88435.51, 180334.66, 542802.44, 281851.75, 146949.58, 140318.12, 293780.19, 162224.41, 440311.91, 58905.91, 237070.58, 85651.97, 271092.94, 303002.34, 192027.33, 146407.47, 219357.62, 162608.28, 175840.80, 75013.27, 65416.85, 230607.02, 184456.33, 465335.00, 346386.06, 208605.98, 270545.09, 470829.56, 285557.41, 341294.25, 1603977.00, 239412.86, 260141.23, 1428350.00, 741826.25, 301016.56, 697124.75, 188174.41, 273421.88, 188959.28, 66560.25, 67344.40, 191420.81, 190645.81, 464603.41, 163295.77, 56348.98, 154538.22, 113855.20, 324375.25, 240249.69, 225681.14, 154968.66, 505167.41, 262127.98, 346931.25, 142114.59, 247208.70, 155590.23, 574828.25, 293041.09, 95537.11, 469606.72, 170352.36, 166107.58, 93907.30, 134831.06, 353754.72, 480717.62, 253747.91, 121303.90, 167695.05, 113856.51, 255277.19, 110338.88, 133730.56, 145283.92, 174014.77, 188919.44, 318287.94, 166749.56, 81490.15, 205154.86, 238468.50, 175187.64, 198759.25, 191447.61, 218440.28, 199855.55, 165036.17, 304567.69, 80348.13, 198025.12, 207821.28, 379472.44, 453675.84, 308927.91, 135622.88, 102107.02, 221584.47, 259698.75, 136351.55, 141180.16, 378801.94, 258056.14, 293999.12, 274500.00, 350953.28, 438691.75, 130551.04, 114945.69, 213020.38, 489836.06, 287190.78, 158244.33, 289732.16, 101583.13, 241531.62, 1434874.00, 214421.12, 278278.62, 246479.80, 374192.81, 317280.84, 279629.50, 265590.50, 842010.56, 219929.52, 1025937.12, 127524.20, 203987.25, 273200.22, 296918.44, 460181.22, 1192865.88, 268999.94, 212328.50, 254701.08, 278730.97, 248767.12, 319636.22, 137197.19, 158178.02, 196413.20, 130866.16, 210458.64, 229510.33, 145121.41, 524915.25, 148094.72, 216369.09, 230689.42, 104990.58, 150018.77, 145563.17, 657409.69, 240917.95, 247717.39, 269602.06, 133831.17, 338860.97, 190709.48, 103624.25, 243151.56, 347461.78, 251745.11, 197762.48, 218308.55, 92800.99, 194572.98, 263855.03, 397321.50, 85743.87, 90536.58, 240936.84, 210773.20, 354518.19, 194328.78, 105287.79, 87868.12, 166496.16, 323853.66, 215590.05, 403083.69, 351415.12, 247544.70, 251961.83, 253493.83, 167469.11, 219505.86, 157472.77, 83057.77, 78506.73, 178748.05, 188165.55, 182731.41, 129817.91, 272277.88, 496936.72, 301269.41, 104959.85, 269689.34, 957284.56, 325765.06, 155…
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$ gap_poor     <dbl> 39.7642555, 0.0000000, 43.5466003, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 46.7310562, 41.9505196, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 35.5319099, 36.7843742, 39.1415863, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 3.0347731, 0.0000000, 0.0000000, 47.1361237, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 7.4557796, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 47.1062355, 0.0000000, 0.0000000, 0.0000000, 37.9906616, 9.0860548, 0.0000000, 60.5829048, 0.0000000, 0.0000000, 0.0000000, 39.8348312, 0.0000000, 0.0000000, 0.0000000, 53.5240517, 18.3938255, 33.4603119, 0.0000000, 43.2138786, 40.7765656, 0.0000000, 0.0000000, 7.1440973, 7.5077004, 24.8393288, 0.0000000, 0.0000000, 0.0000000, 5.1410823, 41.7900658, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 35.0208321, 0.0000000, 4.4086390, 0.0000000, 15.2725534, 2.8028831, 0.0000000, 32.9343643, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 32.0075684, 0.0000000, 0.0000000, 14.1297016, 16.8558903, 0.0000000, 0.0000000, 18.4813995, 49.0910492, 0.0000000, 63.5418167, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 6.8583369, 0.0000000, 0.0000000, 0.0000000, 11.5425539, 35.3398438, 1.4192868, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 15.6628046, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 49.6675415, 64.3433838, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 18.6238518, 0.0000000, 0.0000000, 32.8795280, 24.6673756, 28.6543789, 46.5252876, 0.0000000, 0.0000000, 0.0000000, 36.7785645, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.2046486, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 27.8687954, 26.0364227, 0.0000000, 0.0000000, 21.0423317, 10.6433945, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 42.7546310, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 25.5232983, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 22.5151367, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 24.2986336, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 29.7854843, 0.0000000, 0.0000000, 0.0000000, 24.7519817, 0.0000000, 0.0000000, 30.8541985, 0.0000000, 0.0000000, 0.0000000, 11.7590714, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 76.7870941, 15.8289175, 32.4635391, 59.9247093, 33.1873550, 0.0000000, 76.6229630, 60.3131714, 55.9457970, 0.0000000, 7.6000304, 30.9856262, 11.8969536, 46.6631393, 0.0000000, 0.0000000, 0.0000000, 43.5212898, 5.7968979, 17.3014908, 0.0000000, 0.0000000, 0.0000000, 53.7677536, 0.0000000, 0.0000000, 0.0000000, 56.7840118, 0.0000000, 0.0000000, 0.0000000, 50.1916161, 0.0000000, 0.0000000, 0.0000000, 17.2354870, 17.1811008, 0.0000000, 4.2515116, 0.0000000, 65.2324142, 0.0000000, 49.4462891, 0.0000000, 0.0000000, 0.0000000, 13.5870237, 0.0000000, 4.0249252, 0.0000000, 55.7254715, 61.3895073, 0.0000000, 1.5365505, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 58.9173813, 58.4333878, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 65.2200317, 4.6152186, 29.7257786, 0.0000000, 0.0000000, 0.0000000, 4.3495598, 0.0000000, 0.0000000, 0.0000000, 17.3185863, 0.0000000, 9.4785290, 0.0000000, 0.0000000, 44.4170799, 0.0000000, 0.8900038, 3.3595960, 45.3652992, 21.5560970, 0.0000000, 0.0000000, 0.0000000, 28.7795906, 1.5422305, 33.1521339, 0.0000000, 35.2174149, 21.4836006, 14.7003546, 0.0000000, 0.0000000, 0.0000000, 2.0973608, 52.1551895, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 11.9031048, 0.0000000, 57.1098785, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 27.6040344, 45.4949036, 0.0000000, 0.0000000, 22.7422085, 20.0062790, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 26.0288200, 34.8709297, 0.0000000, 0.0000000, 0.0000000, 10.3375988, 0.0000000, 42.4422455, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 32.3340759, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 18.2423325, 5.7395706, 0.0000000, 22.0150719, 0.0000000, 0.0000000, 13.5201826, 0.0000000, 20.9465179, 0.0000000, 0.0000000, 43.9556503, 19.9194508, 22.2978554, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 28.5604572, 0.0000000, 0.0000000, 44.6850090, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 44.1448669, 0.0000000, 0.0000000, 0.0000000, 48.3924179, 45.5077705, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 36.6292953, 47.1138611, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 5.6785226, 0.0000000, 11.3086481, 5…
$ gap_ultra    <dbl> 1.3575008, 0.0000000, 7.5514956, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 12.7663879, 4.9377398, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.3378147, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 13.4297218, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 13.3807850, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 35.4502831, 0.0000000, 0.0000000, 0.0000000, 1.4730762, 0.0000000, 0.0000000, 0.0000000, 23.8906441, 0.0000000, 0.0000000, 0.0000000, 7.0066290, 3.0152698, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 4.6749821, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 16.6311283, 0.0000000, 40.2958107, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 17.5751991, 41.6084671, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 12.4294186, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 6.2545671, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 61.9863739, 0.0000000, 0.0000000, 34.3724060, 0.0000000, 0.0000000, 61.7175865, 35.0085526, 27.8565140, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 12.6551628, 0.0000000, 0.0000000, 0.0000000, 7.5100474, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 24.2897339, 0.0000000, 0.0000000, 0.0000000, 29.2291737, 0.0000000, 0.0000000, 0.0000000, 18.4334240, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 43.0643425, 0.0000000, 17.2128696, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 27.4957123, 36.7711716, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 32.7227974, 31.9302139, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 43.0440636, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 8.9770031, 0.0000000, 0.0000000, 0.0000000, 10.5298166, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 21.6489906, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 29.7628250, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 10.7420559, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 5.7429967, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 8.2213621, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 9.4157648, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 8.5312214, 0.0000000, 0.0000000, 0.0000000, 15.4870424, 10.7631273, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 13.3932724, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 23.3934498, 27.5910110, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0…
$ gap2_poor    <dbl> 1.581196e+01, 0.000000e+00, 1.896306e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 2.183792e+01, 1.759846e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.262516e+01, 1.353090e+01, 1.532064e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 9.209847e-02, 0.000000e+00, 0.000000e+00, 2.221814e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 5.558865e-01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 2.218998e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.443290e+01, 8.255638e-01, 0.000000e+00, 3.670288e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.586814e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 2.864824e+01, 3.383328e+00, 1.119593e+01, 0.000000e+00, 1.867439e+01, 1.662728e+01, 0.000000e+00, 0.000000e+00, 5.103813e-01, 5.636557e-01, 6.169922e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 2.643073e-01, 1.746410e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.226459e+01, 0.000000e+00, 1.943610e-01, 0.000000e+00, 2.332509e+00, 7.856154e-02, 0.000000e+00, 1.084672e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.024484e+01, 0.000000e+00, 0.000000e+00, 1.996485e+00, 2.841211e+00, 0.000000e+00, 0.000000e+00, 3.415621e+00, 2.409931e+01, 0.000000e+00, 4.037563e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 4.703678e-01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.332305e+00, 1.248905e+01, 2.014375e-02, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 2.453234e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 2.466865e+01, 4.140071e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 3.468478e+00, 0.000000e+00, 0.000000e+00, 1.081063e+01, 6.084794e+00, 8.210734e+00, 2.164602e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.352663e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 4.188105e-04, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 7.766697e+00, 6.778954e+00, 0.000000e+00, 0.000000e+00, 4.427797e+00, 1.132818e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.827958e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 6.514388e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 5.069314e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 5.904236e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 8.871751e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 6.126606e+00, 0.000000e+00, 0.000000e+00, 9.519815e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.382758e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 5.896258e+01, 2.505546e+00, 1.053881e+01, 3.590971e+01, 1.101400e+01, 0.000000e+00, 5.871078e+01, 3.637679e+01, 3.129932e+01, 0.000000e+00, 5.776046e-01, 9.601090e+00, 1.415375e+00, 2.177448e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.894102e+01, 3.360402e-01, 2.993416e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 2.890971e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 3.224424e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 2.519198e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 2.970620e+00, 2.951902e+00, 0.000000e+00, 1.807535e-01, 0.000000e+00, 4.255268e+01, 0.000000e+00, 2.444935e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.846072e+00, 0.000000e+00, 1.620002e-01, 0.000000e+00, 3.105328e+01, 3.768671e+01, 0.000000e+00, 2.360988e-02, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 3.471258e+01, 3.414461e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 4.253652e+01, 2.130024e-01, 8.836219e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.891867e-01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 2.999335e+00, 0.000000e+00, 8.984251e-01, 0.000000e+00, 0.000000e+00, 1.972877e+01, 0.000000e+00, 7.921068e-03, 1.128689e-01, 2.058010e+01, 4.646653e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 8.282648e+00, 2.378475e-02, 1.099064e+01, 0.000000e+00, 1.240266e+01, 4.615451e+00, 2.161004e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 4.398922e-02, 2.720164e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.416839e+00, 0.000000e+00, 3.261538e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 7.619827e+00, 2.069786e+01, 0.000000e+00, 0.000000e+00, 5.172081e+00, 4.002512e+00, 0.000000e+00, 0.00000…
$ gap2_ultra   <dbl> 1.842809e-02, 0.000000e+00, 5.702509e-01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.629807e+00, 2.438128e-01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.141188e-03, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.803574e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.790454e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.256723e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 2.169953e-02, 0.000000e+00, 0.000000e+00, 0.000000e+00, 5.707629e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 4.909285e-01, 9.091851e-02, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 2.185546e-01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 2.765944e+00, 0.000000e+00, 1.623753e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 3.088876e+00, 1.731264e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.544904e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 3.911961e-01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 3.842311e+01, 0.000000e+00, 0.000000e+00, 1.181462e+01, 0.000000e+00, 0.000000e+00, 3.809061e+01, 1.225599e+01, 7.759854e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.601532e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 5.640081e-01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 5.899911e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 8.543446e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 3.397912e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.854538e+01, 0.000000e+00, 2.962829e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 7.560142e+00, 1.352119e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.070782e+01, 1.019539e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.852791e+01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 8.058658e-01, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.108770e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 4.686788e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 8.858257e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 1.153918e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.00000…

There are quite a few variables here! What do we want to keep?

• case_id: the household identifier
• hh_wgt: the household survey weight
• rexpaggpc: total (real) household expenditures per capita

This part is a bit easier since we do not need to aggreagate; the data is already at the household level, with just one observation per household. We do, however, want to select just some of the variables, which we do using the select() function from dplyr:

exp <- exp |>
  select(case_id, hh_wgt, exppc = rexpaggpc)

As a small note, I renamed the expenditure variable to something that is a bit easier to type. One of the nice things about the select() function is that we can rename variables within it!

7 Joining (merging) datasets

We now have everything we need. However, we need to join these together. I am going to do this by starting with the expenditures data, and joining the other two datasets into it using inner_join(). Here is the code, which I will explain more below:

final <- exp |>
  inner_join(df, by = "case_id") |>
  inner_join(assets, by = "case_id")
head(final)

# A tibble: 6 × 25
  case_id      hh_wgt   exppc hhsize adultmen adultwomen  boys girls headage assetsmortar assetsbed assetstable assetschair assetsfan assetsac assetsradio assetscddvd assetstv assetsvcr assetssewing assetstradstove assetsmodernstove assetsfridge assetswashing assetsbike
  <chr>         <dbl>   <dbl>  <int>    <int>      <int> <int> <int>   <dbl>        <dbl>     <dbl>       <dbl>       <dbl>     <dbl>    <dbl>       <dbl>       <dbl>    <dbl>     <dbl>        <dbl>           <dbl>             <dbl>        <dbl>         <dbl>      <dbl>
1 101011000014   93.7  99918.      4        1          1     2     0      41            0         1           1           3         0        0           0           0        0         0            0               0                 0            0             0          0
2 101011000023   93.7 169323.      4        1          1     2     0      55            0         0           1           0         0        0           0           0        0         0            0               0                 0            0             0          1
3 101011000040   93.7  93644.      4        0          1     2     1      25            0         0           0           0         0        0           1           0        0         0            0               0                 0            0             0          0
4 101011000071   93.7 452758.      5        2          2     0     1      51            1         1           0           0         0        0           1           0        0         0            0               0                 0            0             0          2
5 101011000095   93.7 183333.      5        1          1     2     1      33            1         0           1           0         0        0           0           0        0         0            0               0                 0            0             0          0
6 101011000115   93.7 420656.      2        1          1     0     0      80            2         0           0           1         0        0           0           0        0         0            0               0                 0            0             0          0

There are many types of joins in dplyr. The one I have chosen, inner_join(), keeps only observations that are in both datasets. The by argument specifies the variable(s) to join on.⁹ Another common join is left_join(), which will keep all observations in the initial object (in this case, exp), regardless of whether that household exists in the other two datasets (df and assets). Since we are going to estimate a regression, we only want households that have all of the data we need, so inner_join() seems reasonable here. As a note of caution, however, is that you should always make sure you know why households are not there. In this case, since I am just introducing some data wrangling functions, I am going to ignore that step.

8 Using the apply() functions

When I first started using R, I did not take full advantage of its properties. In particular, R is vectorized, which means that certain functions can automatically be run in parallel. This means that you can often replace loops with vectorized functions. Let’s start with a simple matrix object that we will work with:

set.seed(123)
examplemat <- matrix(rnorm(30), nrow = 10, ncol = 3)
examplemat

             [,1]       [,2]       [,3]
 [1,] -0.56047565  1.2240818 -1.0678237
 [2,] -0.23017749  0.3598138 -0.2179749
 [3,]  1.55870831  0.4007715 -1.0260044
 [4,]  0.07050839  0.1106827 -0.7288912
 [5,]  0.12928774 -0.5558411 -0.6250393
 [6,]  1.71506499  1.7869131 -1.6866933
 [7,]  0.46091621  0.4978505  0.8377870
 [8,] -1.26506123 -1.9666172  0.1533731
 [9,] -0.68685285  0.7013559 -1.1381369
[10,] -0.44566197 -0.4727914  1.2538149

Suppose we want to create a new vector that is the product or sum of the first two columns of examplemat? We could do this with a loop but R will automatically do element-wise operations, so we can just do this:

examplemat[,1] * examplemat[,2]

 [1] -0.68606804 -0.08282104  0.62468579  0.00780406 -0.07186344  3.06467216  0.22946735  2.48789113 -0.48172830  0.21070515

examplemat[,1] + examplemat[,2]

 [1]  0.66360615  0.12963634  1.95947976  0.18119111 -0.42655340  3.50197812  0.95876668 -3.23167839  0.01450305 -0.91845338

This is a very simple example, but hopefully it gives you an idea. However, there are more complicated cases where this vectorization really shines. What if we want to calculate the sum of each row or column of the matrix*? We can use the apply() function to do this:

# row-wise sum
apply(examplemat, 1, sum)

 [1] -0.40421756 -0.08833858  0.93347532 -0.54770012 -1.05159267  1.81528481  1.79655373 -3.07830527 -1.12363389  0.33536154

# column-wise sum
apply(examplemat, 2, sum)

[1]  0.7462564  2.0862196 -4.2455887

I think of the 1 and 2 as representing the indices of the matrix; the first index of a matrix indexes rows, while the second indexes columns, just like in linear algebra. In this case, the sum function is applied either across rows or down columns, but you can easily replace sum with other functions, like mean or max.

You can also use custom functions. As an example, in one project I have a distance matrix, called dist, that contains the distance from more than 10,000 points to each of the other points. For each, row (point), I want to calculate a weight variable based on distance to all of the other points. Specifically, I am going to calculate the weight by using a kernel function. I create a custom function that allows me to choose one of two kernel functions (triangular or epanechnikov) as well as the bandwidth (the distance beyond which all weights will be zero). I call this function kernelfun and then I apply that across the rows of the dist matrix, as follows:

# create kernels (can choose triangular or epanechnikov)
kernelfun <- function(x, bw = 500, k = "triangular"){
  if (k=="epanechnikov"){ # this calculates the epanechnikov kernel (but with max of one)
    w <- ifelse(x>bw, 0, (1 - (x/bw)^2))  
  } else{
    w <- ifelse(x>bw, 0, (1 - (x/bw))) # triangular kernel
  }
  return(w)
}
weights <- apply(dist, 1, kernelfun)

Needless to say, this is much faster than looping through each of the rows of the matrix since R will automatically run these operations in parallel.

There are other apply functions, as well, like lapply(). lapply() is used for lists (apply() is used for matrices). There are also variations of these functions that will take advantage of all the cores on your computer to allow for further parallelization, like mcapply() from the parallel package.

9 Regressions with fixest

Base R has a linear regression function, which you can call with lm(). However, I never use lm() nowadays. Instead, I have fallen in love with the package fixest, which you can read more about here.¹⁰ There are many reasons I always use fixest, but the biggest reasons are that it: 1. makes calculating alternative standard errors easy, and 2. makes adding fixed effects easy. We are not going to do the latter here, but I will show you how to do the former.

Most regression functions in R have a very specific syntax, that looks like this:

\[ y \sim x_1 + x_2 + \cdots + x_N, \]

where \(y\) is the name of our outcome variable (in our case, exppc), and the x_i are the names of the predictors (e.g. assetstv). Now, we could do this by hand, like this:

olsformula <- as.formula("log(exppc) ~ adultmen + adultwomen + boys + girls + headage + assetsmortar + assetsbed + assetstable + assetschair + assetsfan + assetsac + assetsradio + assetscddvd + assetstv + assetsvcr + assetssewing + assetstradstove + assetsmodernstove + assetsfridge + assetswashing + assetsbike")
olsformula

log(exppc) ~ adultmen + adultwomen + boys + girls + headage + 
    assetsmortar + assetsbed + assetstable + assetschair + assetsfan + 
    assetsac + assetsradio + assetscddvd + assetstv + assetsvcr + 
    assetssewing + assetstradstove + assetsmodernstove + assetsfridge + 
    assetswashing + assetsbike

But that is quite tedious! Let’s do it a different way, by finding the column names we want to use and then pasting them together. Here is the code:

colnames(final)
olsformula <- as.formula(paste0("log(exppc) ~ ", paste0(colnames(final)[5:ncol(final)], collapse = " + ")))
olsformula

 [1] "case_id"           "hh_wgt"            "exppc"             "hhsize"            "adultmen"          "adultwomen"        "boys"              "girls"             "headage"           "assetsmortar"      "assetsbed"         "assetstable"       "assetschair"       "assetsfan"         "assetsac"          "assetsradio"       "assetscddvd"       "assetstv"          "assetsvcr"         "assetssewing"      "assetstradstove"   "assetsmodernstove" "assetsfridge"      "assetswashing"     "assetsbike"       

log(exppc) ~ adultmen + adultwomen + boys + girls + headage + 
    assetsmortar + assetsbed + assetstable + assetschair + assetsfan + 
    assetsac + assetsradio + assetscddvd + assetstv + assetsvcr + 
    assetssewing + assetstradstove + assetsmodernstove + assetsfridge + 
    assetswashing + assetsbike

So much easier! There are a few things to note:

• paste0() puts together strings, with the collapse argument specifying what we want to put between the individual arguments.
• as.formula() tells R that we are going to use this as a formula in a regression function.
• I used colnames(final) to find out the location of the variable names we want to use. I then subset them using 5:ncol(final), which selects all columns from the fourth to the last column. The first three columns are not explanatory variables in our example (and hhsize is perfectly collinear with the other demographic variables, so we remove that, as well).
• We can simply wrap a variable in log() if we want to log it; we do not have to create a new variable! So in this example, we will be regression log of per capita expenditures on the other variables.

Now let’s estimate our regression using the feols function from the fixest package (make sure to install it if you haven’t yet):

library(fixest)
results <- feols(olsformula, data = final)
summary(results)

OLS estimation, Dep. Var.: log(exppc)
Observations: 11,434 
Standard-errors: IID 
                   Estimate Std. Error    t value   Pr(>|t|)    
(Intercept)       12.897611   0.015973 807.476649  < 2.2e-16 ***
adultmen          -0.104184   0.005575 -18.686244  < 2.2e-16 ***
adultwomen        -0.156556   0.006660 -23.508214  < 2.2e-16 ***
boys              -0.195017   0.004582 -42.560300  < 2.2e-16 ***
girls             -0.208746   0.004598 -45.397902  < 2.2e-16 ***
headage           -0.003732   0.000315 -11.850284  < 2.2e-16 ***
assetsmortar       0.051039   0.007732   6.601129 4.2613e-11 ***
assetsbed          0.165931   0.005826  28.483063  < 2.2e-16 ***
assetstable        0.105746   0.009392  11.259380  < 2.2e-16 ***
assetschair       -0.035287   0.001662 -21.227693  < 2.2e-16 ***
assetsfan         -0.040485   0.020225  -2.001707 4.5340e-02 *  
assetsac           0.233902   0.056900   4.110743 3.9715e-05 ***
assetsradio        0.086608   0.009633   8.990733  < 2.2e-16 ***
assetscddvd        0.103252   0.014601   7.071719 1.6197e-12 ***
assetstv           0.238959   0.016270  14.687436  < 2.2e-16 ***
assetsvcr          0.076167   0.103552   0.735539 4.6203e-01    
assetssewing       0.078979   0.022113   3.571614 3.5625e-04 ***
assetstradstove   -0.012574   0.136106  -0.092380 9.2640e-01    
assetsmodernstove  0.284658   0.028665   9.930350  < 2.2e-16 ***
assetsfridge       0.157559   0.022092   7.131986 1.0491e-12 ***
assetswashing      0.594189   0.121362   4.896006 9.9143e-07 ***
assetsbike         0.068755   0.007455   9.223275  < 2.2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
RMSE: 0.48716   Adj. R2: 0.52079

Using homoskedastic variance estimates does not seem wise. What if we want to use robust standard errors, instead?

results <- feols(olsformula, data = final, vcov = "HC1")
summary(results)

OLS estimation, Dep. Var.: log(exppc)
Observations: 11,434 
Standard-errors: Heteroskedasticity-robust 
                   Estimate Std. Error    t value   Pr(>|t|)    
(Intercept)       12.897611   0.018657 691.283393  < 2.2e-16 ***
adultmen          -0.104184   0.005918 -17.605210  < 2.2e-16 ***
adultwomen        -0.156556   0.007203 -21.734737  < 2.2e-16 ***
boys              -0.195017   0.004877 -39.989218  < 2.2e-16 ***
girls             -0.208746   0.004770 -43.766387  < 2.2e-16 ***
headage           -0.003732   0.000318 -11.752533  < 2.2e-16 ***
assetsmortar       0.051039   0.007848   6.503445 8.1780e-11 ***
assetsbed          0.165931   0.006457  25.696402  < 2.2e-16 ***
assetstable        0.105746   0.010819   9.774243  < 2.2e-16 ***
assetschair       -0.035287   0.007708  -4.578230 4.7388e-06 ***
assetsfan         -0.040485   0.028591  -1.416022 1.5680e-01    
assetsac           0.233902   0.069641   3.358702 7.8566e-04 ***
assetsradio        0.086608   0.009809   8.829881  < 2.2e-16 ***
assetscddvd        0.103252   0.019027   5.426689 5.8583e-08 ***
assetstv           0.238959   0.021407  11.162407  < 2.2e-16 ***
assetsvcr          0.076167   0.112076   0.679602 4.9677e-01    
assetssewing       0.078979   0.022164   3.563369 3.6762e-04 ***
assetstradstove   -0.012574   0.267615  -0.046984 9.6253e-01    
assetsmodernstove  0.284658   0.035701   7.973340 1.6915e-15 ***
assetsfridge       0.157559   0.027655   5.697334 1.2471e-08 ***
assetswashing      0.594189   0.124345   4.778552 1.7876e-06 ***
assetsbike         0.068755   0.008203   8.381360  < 2.2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
RMSE: 0.48716   Adj. R2: 0.52079

Finally, what if we want to also use household weights?

results <- feols(olsformula, data = final, vcov = "HC1", weights = ~hh_wgt)
summary(results)

OLS estimation, Dep. Var.: log(exppc)
Observations: 11,434 
Weights: hh_wgt 
Standard-errors: Heteroskedasticity-robust 
                   Estimate Std. Error    t value   Pr(>|t|)    
(Intercept)       12.833065   0.021390 599.956893  < 2.2e-16 ***
adultmen          -0.103810   0.006442 -16.113601  < 2.2e-16 ***
adultwomen        -0.159343   0.008036 -19.829203  < 2.2e-16 ***
boys              -0.195448   0.005658 -34.541044  < 2.2e-16 ***
girls             -0.204511   0.005508 -37.127610  < 2.2e-16 ***
headage           -0.003287   0.000367  -8.947221  < 2.2e-16 ***
assetsmortar       0.056458   0.009220   6.123714 9.4426e-10 ***
assetsbed          0.163919   0.007265  22.563734  < 2.2e-16 ***
assetstable        0.109464   0.011931   9.175027  < 2.2e-16 ***
assetschair       -0.035540   0.005651  -6.289567 3.2999e-10 ***
assetsfan         -0.119778   0.030111  -3.977885 6.9961e-05 ***
assetsac           0.314229   0.082196   3.822908 1.3259e-04 ***
assetsradio        0.090027   0.011384   7.908402 2.8472e-15 ***
assetscddvd        0.114629   0.022156   5.173818 2.3325e-07 ***
assetstv           0.267379   0.024811  10.776450  < 2.2e-16 ***
assetsvcr          0.145070   0.151355   0.958477 3.3784e-01    
assetssewing       0.076113   0.022506   3.381841 7.2243e-04 ***
assetstradstove   -0.076727   0.353185  -0.217243 8.2802e-01    
assetsmodernstove  0.283589   0.044664   6.349389 2.2438e-10 ***
assetsfridge       0.184515   0.030663   6.017500 1.8257e-09 ***
assetswashing      0.594270   0.174390   3.407716 6.5735e-04 ***
assetsbike         0.083958   0.008784   9.557539  < 2.2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
RMSE: 9.16202   Adj. R2: 0.508481

Note that we added the weight using a “formula”-like object. You can also add it as a vector, instead, but this is safer since any missings will automatically be removed.

One of the nice things about working with R is that we can make changes more or less on the fly. For example, what if we want to estimate this regression only for households that have more than one child? We can do this with the filter() function, making sure to only keep households where boys + girls > 1:

results <- feols(olsformula, data = final |> filter(boys + girls > 1), vcov = "HC1", weights = ~hh_wgt)
summary(results)

OLS estimation, Dep. Var.: log(exppc)
Observations: 6,585 
Weights: hh_wgt 
Standard-errors: Heteroskedasticity-robust 
                   Estimate Std. Error    t value   Pr(>|t|)    
(Intercept)       12.432001   0.029362 423.402965  < 2.2e-16 ***
adultmen          -0.071270   0.007424  -9.600007  < 2.2e-16 ***
adultwomen        -0.082463   0.009154  -9.008318  < 2.2e-16 ***
boys              -0.130230   0.007180 -18.138761  < 2.2e-16 ***
girls             -0.133350   0.007288 -18.296675  < 2.2e-16 ***
headage           -0.003609   0.000533  -6.770313 1.3964e-11 ***
assetsmortar       0.050187   0.010814   4.641002 3.5346e-06 ***
assetsbed          0.180867   0.011487  15.745303  < 2.2e-16 ***
assetstable        0.060061   0.013560   4.429301 9.6073e-06 ***
assetschair        0.029991   0.005781   5.187850 2.1911e-07 ***
assetsfan         -0.005609   0.036478  -0.153772 8.7779e-01    
assetsac           0.571875   0.174380   3.279480 1.0454e-03 ** 
assetsradio        0.060122   0.013257   4.535063 5.8610e-06 ***
assetscddvd        0.069692   0.019791   3.521439 4.3213e-04 ***
assetstv           0.185153   0.029728   6.228302 5.0068e-10 ***
assetsvcr         -0.154608   0.180718  -0.855518 3.9230e-01    
assetssewing       0.034332   0.030818   1.114013 2.6531e-01    
assetstradstove    0.436888   0.157885   2.767120 5.6712e-03 ** 
assetsmodernstove  0.240573   0.051205   4.698193 2.6782e-06 ***
assetsfridge       0.140343   0.039268   3.573946 3.5417e-04 ***
assetswashing      0.343168   0.127730   2.686670 7.2350e-03 ** 
assetsbike         0.075426   0.009755   7.732077 1.2168e-14 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
RMSE: 8.13653   Adj. R2: 0.45145

The filter() function is incredibly useful, as it allows us to very quickly select rows based on some condition (across columns).

As a final note, this is household survey data that has a complex survey design, with strata and clusters. If we wanted to properly analyze this data, we would need to add the strata (as fixed effects) and cluster at the enumeration area (the primary sampling unit, or PSU). I have note done that here out of simplicity.

10 Wrapping up

We have seen many different, common data wrangling tasks in this example. We have used:

• mutate() to create new variables.
• group_by() and summarize() to aggregate data.
• select() to select just some variables and/or to rename variable.
• inner_join() to merge datasets.
• filter() to select rows based on some condition.

There are of course a lot more functions that we did not cover, some of which you might need if you have different tasks to accomplish. For example, arrange() allows you to order the data by the value of a column (from lowest to highest), while arrange(desc()) allows you to order the data by the value of a column, from highest to lowest. What does the household with the lowest expenditure per capita look like?

final |> arrange(exppc) |> head(1)

# A tibble: 1 × 25
  case_id      hh_wgt  exppc hhsize adultmen adultwomen  boys girls headage assetsmortar assetsbed assetstable assetschair assetsfan assetsac assetsradio assetscddvd assetstv assetsvcr assetssewing assetstradstove assetsmodernstove assetsfridge assetswashing assetsbike
  <chr>         <dbl>  <dbl>  <int>    <int>      <int> <int> <int>   <dbl>        <dbl>     <dbl>       <dbl>       <dbl>     <dbl>    <dbl>       <dbl>       <dbl>    <dbl>     <dbl>        <dbl>           <dbl>             <dbl>        <dbl>         <dbl>      <dbl>
1 302125260273   591. 22307.      6        1          1     1     3      49            2         0           0           0         0        0           0           0        0         0            0               0                 0            0             0          0

And the highest?

final |> arrange(desc(exppc)) |> head(1)

# A tibble: 1 × 25
  case_id      hh_wgt    exppc hhsize adultmen adultwomen  boys girls headage assetsmortar assetsbed assetstable assetschair assetsfan assetsac assetsradio assetscddvd assetstv assetsvcr assetssewing assetstradstove assetsmodernstove assetsfridge assetswashing assetsbike
  <chr>         <dbl>    <dbl>  <int>    <int>      <int> <int> <int>   <dbl>        <dbl>     <dbl>       <dbl>       <dbl>     <dbl>    <dbl>       <dbl>       <dbl>    <dbl>     <dbl>        <dbl>           <dbl>             <dbl>        <dbl>         <dbl>      <dbl>
1 210334510265   536. 18560576      1        1          0     0     0      59            0         6           3           8         6        7           0           0        2         0            0               0                 2            2             1          0

You can find a nice summary of all of the functions for data wrangling/transformation on “cheat sheets.” Here is one example..

Over the last couple of years, I have seen a lot of common issues that people face when transitioning to R. One of the most common is working with missing values. As a reminder:

• In R, missing values are coded as NA. If you want to check for whether something is missing, you have to use is.na(), NOT == NA. For example, is.na(x) will return TRUE if x is missing, while x==NA will not.
• Make sure to remember the na.rm = TRUE argument. Many functions have it as FALSE by default. If you are working with a variable that has missing values, you need to set it to TRUE (if you want to ignore the missings, that is).

Markdown and Quarto

One of my favorite things about using R is the ability to incorporate code and text into a document. In fact, that is exactly how I wrote up this short explainer. At the very top-right of this page, you will see a button – </> Code – you can press to reveal all of the code.

I wrote this explainer using Quarto, which is a way to produce documents within RStudio (or your editor of choice, as it also works with Python and Julia). Quarto is a bit like RMarkdown, but with a few differences; in fact, my old RMarkdown code (usually) runs fine in Quarto.

While it is beyond the scope of this page to fully introduce these two packages, I do want to highlight a few reasons I love working with them:

• Easy table creation: I can create a table using R code and immediately export it to a PDF or HTML document or slides.¹¹ My package of preference here is kable but there are many, many options out there. Of course, this is also possible with tables in other languages, like Stata. But the next thing is not possbile there…
• Embedding code within the text: I can write a paragraph and include R code in the text itself. For example, I can call a function and embed the output in the paragraph, like this:

The mean of expenditures per capita is `r format(round(mean(final$exppc), 1), big.mark = ",")` Malawi Kwacha.

The above code leads to this text: The mean of expenditures per capita is 282,413.4 Malawi Kwacha.

I find this incredily helpful because I might sometimes change the previous code which ends up affecting the final mean. Rather than forgetting to update the value in the text (which all of us have done at one point or another), it will be updated automatically! You can embed basically anything from an R object into the text, including things like means, coefficients, etc.

• Hello, LaTeX: I can use LaTeX in my documents, which is incredibly helpful for equations. For example, I can write $y = \beta_0 + \beta_1 x + \varepsilon$ and it will render as an equation: \(y = \beta_0 + \beta_1 x + \varepsilon\). In that way, moving from something like Overleaf to Quarto is not quite as difficult as it might seem at first glance.

• GitHub Copilot: GitHub Copilot helps quite a bit with writing code as well as writing documents. I principally use it to help me finish code I’ve started writing in my Quarto documents. One thing I really love about it is that it seems to learn from things I have already written. This is particularly useful for keeping my code syntax consistent (for example, I always use ” and never ’ for strings). In addition, this is free for students and teachers! You can find more information here.

Footnotes

1. I of course will not use it here.

2. If this link ever breaks, please e-mail me so I can fix it.

3. Note that you must use quotation marks with the install.packages() function!

4. As a small note, the amount of data it shows you depends on the width of your console. I have actually changed the width of the output in this document using the options(width = XXXX) feature of R, but this only works well since this is an HTML document and I have enabled scrolling. You can just leave it as is in your console.

5. For example, we might wish to add information about education of household members. However, education can be a bit tricky, depending on how the question is asked. Different countries have different types of educational qualifications, meaning you sometimes have to do some sleuthing to figure out what the different levels of education mean.

6. I also do something similar when calculating logical values with “and” (&) or “or” (|) statements, making sure to always use parentheses so that results are exactly what I want.

7. It is technically possible to have a column name that starts with a number. However, it makes calling that column more cumbersome, so I avoid it at all costs.

8. Since the data is in Stata format, the labels for each asset are actually in the data! However, I leave it to you to figure out how to relabel things using haven, if you so desire.

9. If you want to join on multiple variables (for example, you might in some cases need to join on case_id and year), you need to wrap them as follows: by = c("case_id", "year").

10. Laurent Berge, the author of fixest, is both a gentleman and a scholar.

11. You can also export to Word, but who would do that?