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Education group sums

Source: R/edu_group_sum.R
edu_group_sum.Rd

Cleans epop data, downloaded using the wcde() function, for summations of population by 4, 6 or 8 education groups.

Usage

edu_group_sum(
  d = NULL,
  n = 4,
  strip_totals = TRUE,
  factor_convert = TRUE,
  year_edu_start = 2020
)

Arguments

d

Data frame downloaded from the

n

Number of education groups (from 4, 6 or 8)

strip_totals

Remove total sums in epop column. Will not strip education totals if year < year_edu_start and n = 8 as past data on population size by 8 education groups is unavailable.

factor_convert

Convert columns that are character strings to factors, with levels based on order of appearance.

year_edu_start

Year in which education splits are available for given groupings - in some versions past data is not available for some education groupings. Set to 2020 by default.

Value

A tibble with the data selected.

Details

Strips the epop data set to relevant rows for the n education groups.

Examples

library(tidyverse)
#> ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
#> ✔ dplyr     1.1.0     ✔ readr     2.1.4
#> ✔ forcats   1.0.0     ✔ stringr   1.5.0
#> ✔ ggplot2   3.4.1     ✔ tibble    3.2.1
#> ✔ lubridate 1.9.2     ✔ tidyr     1.3.0
#> ✔ purrr     1.0.2     
#> ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
#> ✖ dplyr::filter() masks stats::filter()
#> ✖ dplyr::lag()    masks stats::lag()
#> ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
past_epop %>%
  filter(year == 2020) %>%
  edu_group_sum()
#> # A tibble: 42,210 × 7
#>    name     country_code  year age   sex    education       epop
#>    <fct>           <dbl> <dbl> <fct> <fct>  <fct>          <dbl>
#>  1 Bulgaria          100  2020 0--4  Male   Under 15        161.
#>  2 Bulgaria          100  2020 0--4  Male   No Education      0 
#>  3 Bulgaria          100  2020 0--4  Male   Primary           0 
#>  4 Bulgaria          100  2020 0--4  Male   Secondary         0 
#>  5 Bulgaria          100  2020 0--4  Male   Post Secondary    0 
#>  6 Bulgaria          100  2020 0--4  Female Under 15        152.
#>  7 Bulgaria          100  2020 0--4  Female No Education      0 
#>  8 Bulgaria          100  2020 0--4  Female Primary           0 
#>  9 Bulgaria          100  2020 0--4  Female Secondary         0 
#> 10 Bulgaria          100  2020 0--4  Female Post Secondary    0 
#> # … with 42,200 more rows