library(tidyverse)
# Build dictionary to read the EPF variables from the public use files
build_epf_dict <- function() {
epf_dict <-
read_delim('data-raw/dicts.csv',
delim = ';',
col_types = 'ccicii')
# Find which columns are numeric
matches <- str_match(epf_dict$fmt, '^([0-9]+)\\.([0-9]+)?')
# Augment epf_dict table with columns to transform numeric variables
epf_dict <- epf_dict %>% mutate(
width = end - start + 1,
decimals = parse_integer(matches[, 3]),
fmt = if_else(is.na(matches[, 1]), 'c',
if_else(is.na(decimals), 'i', 'd'))
)
file_dict <-
read_delim('data-raw/file_dict.csv',
delim = ';',
col_types = 'cii')
left_join(file_dict, epf_dict, by = c('file', 'dict' = 'year')) %>%
select(-dict)
}
epf_dict <- build_epf_dict()
epf_files <- read_delim('data-raw/gdrive.csv',
delim = ';',
col_types = 'cic') %>%
mutate(base_name = str_c(file, year, sep = '_'),
url = str_c('https://drive.google.com/open?id=', google_id)) %>%
select(-google_id)
# save metadata in sysdata.rda
use_data(epf_dict, epf_files,
internal = TRUE, overwrite = TRUE)
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