R/leitura.R
In tomasbarcellos/pof: Leitura da Pesquisa de Orçamentos Familiares (POF)
Defines functions
ler_tradutor_alimentacao
ler_tradutor_despesa
ler_tradutor_rendimento
ler_domicilio
ler_rend_outros
ler_rend_trab
ler_aluguel
ler_desp_ind
ler_cad_col
ler_desp_col
ler_morador
ler_pof
Documented in
ler_aluguel
ler_cad_col
ler_desp_col
ler_desp_ind
ler_domicilio
ler_morador
ler_pof
ler_rend_outros
ler_rend_trab
ler_tradutor_alimentacao
ler_tradutor_despesa
ler_tradutor_rendimento
#' Utilidade para ler arquivos de microdados
#' @param arquivo caminho para arquivo
#' @param tamanhos tamanho das colunas
#' @param nomes nomes das colunas
ler_pof <- function(arquivo, tamanhos, nomes) {
readr::read_fwf(
arquivo, col_positions = readr::fwf_widths(tamanhos, nomes),
na = " ", locale = readr::locale(decimal_mark = ".")
)
}
#' Ler tabelas da POF
#' @param ano Ano da pesquisa
#' @rdname leitura
#' @export
ler_morador <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
regex_file <- stringr::regex("morador(_s)?\\.txt", ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(ler_sas(files, instrucoes, regex_file))
}
tamanhos <- c(2,4,1,9,2,1,2,2,1,2,2,4,3,1,1,
1,1,1,2,1,2,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,2,1,1,2,1,1,2,1,1,1,
2,1,2,14,14,10,1,1,20,20,20,20,
20,20)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "NUM_UC", "COD_INFORMANTE",
"V0306", "V0401", "V04021", "V04022", "V04023",
"V0403", "V0404", "V0405", "V0406", "V0407",
"V0408", "V0409", "V0410", "V0411", "V0412",
"V0413", "V0414", "V0415", "V0416",
"V041711", "V041712", "V041721", "V041722",
"V041731", "V041732", "V041741", "V041742",
"V0418", "V0419", "V0420", "V0421", "V0422",
"V0423", "V0424", "V0425", "V0426", "V0427",
"V0428", "V0429", "V0430", "ANOS_ESTUDO",
"PESO", "PESO_FINAL", "RENDA_TOTAL",
"INSTRUCAO", "COMPOSICAO", "PC_RENDA_DISP",
"PC_RENDA_MONET", "PC_RENDA_NAO_MONET",
"PC_DEDUCAO", "CONTAGEM_PONDERADA",
"FUNCAO_PERDA")
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
# morad <- ler_morador(2018)
#' @rdname leitura
#' @export
ler_desp_col <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
regex_file <- stringr::regex("(?<!caderneta_)despesa(_|s)(?!individual).*?\\.txt",
ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
lista_regex <- files %>%
stringr::str_subset(regex_file) %>%
stringr::str_extract("(?<=//).+?$") %>%
purrr::map(stringr::fixed, ignore_case = TRUE)
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(purrr::map_df(lista_regex, ~ler_sas(files, instrucoes, .x)))
}
tamanhos <- c(2,4,1,9,2,1,2,2,7,2,4,10,2,2,1,
10,1,12,10,10,1,1,2,14,14,10,5)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "NUM_UC", "QUADRO",
"SEQ", "V9001", "V9002", "V9005", "V8000",
"V9010", "V9011", "V9012", "V1904",
"V1905", "DEFLATOR", "V8000_DEFLA",
"V1904_DEFLA", "COD_IMPUT_VALOR",
"COD_IMPUT_QUANTIDADE", "FATOR_ANUALIZACAO",
"PESO", "PESO_FINAL", "RENDA_TOTAL", "V9004")
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
# desp_col <- ler_desp_col(2018)
#' @rdname leitura
#' @export
ler_cad_col <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
regex_file <- stringr::regex("caderneta_.+(_s)?\\.txt",
ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(ler_sas(files, instrucoes, regex_file))
}
tamanhos <- c(2,4,1,9,2,1,2,3,7,2,10,12,10,1,2,14,14,10,
9,4,5,9,5)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "NUM_UC", "QUADRO",
"SEQ", "V9001", "V9002", "V8000", "DEFLATOR",
"V8000_DEFLA", "COD_IMPUT_VALOR",
"FATOR_ANUALIZACAO", "PESO", "PESO_FINAL",
"RENDA_TOTAL",
"V9005", "V9007", "V9009", "QTD_FINAL", "V9004")
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
# cad_col <- ler_cad_col(2018)
#' @rdname leitura
#' @export
ler_desp_ind <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
regex_file <- stringr::regex("(?<!caderneta_)despesa(_individual)?(_s)?\\.txt",
ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(ler_sas(files, instrucoes, regex_file))
}
tamanhos <- c(2, 4, 1, 9, 2, 1, 2, 2, 2, 7, 2, 10, 2,
2, 1, 1, 1, 12, 10, 1, 2, 14, 14, 10)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "NUM_UC",
"COD_INFORMANTE", "QUADRO", "SEQ", "V9001",
"V9002", "V8000", "V9010", "V9011", "V9012",
"V4104", "V4105", "DEFLATOR", "V8000_DEFLA",
"COD_IMPUT_VALOR", "FATOR_ANUALIZACAO",
"PESO", "PESO_FINAL", "RENDA_TOTAL"
)
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
# desp_ind <- ler_desp_ind(2018)
#' @rdname leitura
#' @export
ler_aluguel <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
if (ano == 2003) {
stop("Alguel está em 'outros gastos' para 2003", call. = FALSE)
}
regex_file <- stringr::regex("aluguel.+?(_s)?\\.txt",
ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(ler_sas(files, instrucoes, regex_file))
}
tamanhos <- c(2, 4, 1, 9, 2, 1, 2, 7, 2, 10, 2,
2, 12, 10, 1, 2, 14, 14, 10)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "NUM_UC", "QUADRO",
"V9001", "V9002", "V8000", "V9010", "V9011",
"DEFLATOR", "V8000_DEFLA", "COD_IMPUT_VALOR",
"FATOR_ANUALIZACAO", "PESO", "PESO_FINAL",
"RENDA_TOTAL"
)
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
# alug <- ler_aluguel(2018)
#' @rdname leitura
#' @export
ler_rend_trab <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
regex_file <- stringr::regex("(?<!outros_|SAS/|de )rendim.+(_s)?\\.txt",
ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(ler_sas(files, instrucoes, regex_file))
}
tamanhos <- c(2,4,1,9,2,1,2,2,1,1,7,1,1,1,1,1,1,7,7,7
,7,2,2,3,1,12,10,10,10,10,1,1,14,14,10,4,5)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "NUM_UC",
"COD_INFORMANTE", "QUADRO", "SUB_QUADRO",
"SEQ", "V9001", "V5302", "V53021", "V5303",
"V5304", "V5305", "V5307", "V8500", "V531112",
"V531122", "V531132", "V9010", "V9011",
"V5314", "V5315", "DEFLATOR", "V8500_DEFLA",
"V531112_DEFLA", "V531122_DEFLA",
"V531132_DEFLA", "COD_IMPUT_VALOR",
"FATOR_ANUALIZACAO", "PESO", "PESO_FINAL",
"RENDA_TOTAL","V53011","V53061"
)
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
# trab <- ler_rend_trab(2018)
#' @rdname leitura
#' @export
ler_rend_outros <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
regex_file <- stringr::regex("outro.+(_s)?\\.txt", ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(ler_sas(files, instrucoes, regex_file))
}
tamanhos <- c(2, 4, 1, 9, 2, 1, 2, 2, 2, 7, 10, 10, 2,
2, 12, 10, 10, 1, 1, 14, 14, 10)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "NUM_UC",
"COD_INFORMANTE", "QUADRO", "SEQ", "V9001",
"V8500", "V8501", "V9010", "V9011",
"DEFLATOR", "V8500_DEFLA", "V8501_DEFLA",
"COD_IMPUT_VALOR", "FATOR_ANUALIZACAO",
"PESO", "PESO_FINAL", "RENDA_TOTAL")
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
# outros <- ler_rend_outros(2018)
#' @rdname leitura
#' @export
ler_domicilio <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
regex_file <- stringr::regex("domicilio(_s)?\\.txt", ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(ler_sas(files, instrucoes, regex_file))
}
tamanhos <- c(2,4,1,9,2,1,1,1,1,2,1,1,1,1,1,1,1,1,1,2,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,14,14,1)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "V0201", "V0202",
"V0203", "V0204", "V0205", "V0206", "V0207",
"V0208", "V0209", "V02101", "V02102",
"V02103", "V02104", "V02105", "V02111",
"V02112", "V02113", "V0212", "V0213",
"V02141", "V02142", "V0215", "V02161",
"V02162", "V02163", "V02164", "V0217",
"V0219", "V0220", "V0221", "PESO",
"PESO_FINAL", "V6199")
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
#' Tradutores de rendimento
#'
#' @param ano Ano do tradutor
#' @return Uma tibble com tradutor
#' @rdname tradutores
#' @export
ler_tradutor_rendimento <- function(ano) {
pasta <- dir(glue::glue("dados/{ano}/"), full.names = TRUE, pattern = "[Tt]radutores.+")
arq <- dir(glue::glue("{pasta[[1]]}"), pattern = "[Tt]radutor[_ ][Rr]endimento", full.names = T)
readxl::read_excel(arq) %>%
janitor::clean_names()
}
#' @rdname tradutores
#' @export
ler_tradutor_despesa <- function(ano) {
pasta <- dir(glue::glue("dados/{ano}/"), full.names = TRUE, pattern = "[Tt]radutores.+")
arq <- dir(glue::glue("{pasta[[1]]}"), pattern = "[Tt]radutor[_ ][Dd]espesa_[Gg]eral", full.names = T)
readxl::read_excel(arq) %>%
janitor::clean_names()
}
#' @rdname tradutores
#' @export
ler_tradutor_alimentacao <- function(ano) {
pasta <- dir(glue::glue("dados/{ano}/"), full.names = TRUE, pattern = "[Tt]radutores.+")
arq <- dir(glue::glue("{pasta[[1]]}"), pattern = "[Tt]radutor[_ ][Aa]liment", full.names = T)
readxl::read_excel(arq) %>%
janitor::clean_names()
}
tomasbarcellos/pof documentation built on May 22, 2023, 12:14 p.m.
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Defines functions ler_tradutor_alimentacao ler_tradutor_despesa ler_tradutor_rendimento ler_domicilio ler_rend_outros ler_rend_trab ler_aluguel ler_desp_ind ler_cad_col ler_desp_col ler_morador ler_pof
Documented in ler_aluguel ler_cad_col ler_desp_col ler_desp_ind ler_domicilio ler_morador ler_pof ler_rend_outros ler_rend_trab ler_tradutor_alimentacao ler_tradutor_despesa ler_tradutor_rendimento
#' Utilidade para ler arquivos de microdados
#' @param arquivo caminho para arquivo
#' @param tamanhos tamanho das colunas
#' @param nomes nomes das colunas
ler_pof <- function(arquivo, tamanhos, nomes) {
readr::read_fwf(
arquivo, col_positions = readr::fwf_widths(tamanhos, nomes),
na = " ", locale = readr::locale(decimal_mark = ".")
)
}
#' Ler tabelas da POF
#' @param ano Ano da pesquisa
#' @rdname leitura
#' @export
ler_morador <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
regex_file <- stringr::regex("morador(_s)?\\.txt", ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(ler_sas(files, instrucoes, regex_file))
}
tamanhos <- c(2,4,1,9,2,1,2,2,1,2,2,4,3,1,1,
1,1,1,2,1,2,1,1,1,1,1,1,1,1,1,
1,1,1,1,1,2,1,1,2,1,1,2,1,1,1,
2,1,2,14,14,10,1,1,20,20,20,20,
20,20)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "NUM_UC", "COD_INFORMANTE",
"V0306", "V0401", "V04021", "V04022", "V04023",
"V0403", "V0404", "V0405", "V0406", "V0407",
"V0408", "V0409", "V0410", "V0411", "V0412",
"V0413", "V0414", "V0415", "V0416",
"V041711", "V041712", "V041721", "V041722",
"V041731", "V041732", "V041741", "V041742",
"V0418", "V0419", "V0420", "V0421", "V0422",
"V0423", "V0424", "V0425", "V0426", "V0427",
"V0428", "V0429", "V0430", "ANOS_ESTUDO",
"PESO", "PESO_FINAL", "RENDA_TOTAL",
"INSTRUCAO", "COMPOSICAO", "PC_RENDA_DISP",
"PC_RENDA_MONET", "PC_RENDA_NAO_MONET",
"PC_DEDUCAO", "CONTAGEM_PONDERADA",
"FUNCAO_PERDA")
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
# morad <- ler_morador(2018)
#' @rdname leitura
#' @export
ler_desp_col <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
regex_file <- stringr::regex("(?<!caderneta_)despesa(_|s)(?!individual).*?\\.txt",
ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
lista_regex <- files %>%
stringr::str_subset(regex_file) %>%
stringr::str_extract("(?<=//).+?$") %>%
purrr::map(stringr::fixed, ignore_case = TRUE)
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(purrr::map_df(lista_regex, ~ler_sas(files, instrucoes, .x)))
}
tamanhos <- c(2,4,1,9,2,1,2,2,7,2,4,10,2,2,1,
10,1,12,10,10,1,1,2,14,14,10,5)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "NUM_UC", "QUADRO",
"SEQ", "V9001", "V9002", "V9005", "V8000",
"V9010", "V9011", "V9012", "V1904",
"V1905", "DEFLATOR", "V8000_DEFLA",
"V1904_DEFLA", "COD_IMPUT_VALOR",
"COD_IMPUT_QUANTIDADE", "FATOR_ANUALIZACAO",
"PESO", "PESO_FINAL", "RENDA_TOTAL", "V9004")
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
# desp_col <- ler_desp_col(2018)
#' @rdname leitura
#' @export
ler_cad_col <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
regex_file <- stringr::regex("caderneta_.+(_s)?\\.txt",
ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(ler_sas(files, instrucoes, regex_file))
}
tamanhos <- c(2,4,1,9,2,1,2,3,7,2,10,12,10,1,2,14,14,10,
9,4,5,9,5)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "NUM_UC", "QUADRO",
"SEQ", "V9001", "V9002", "V8000", "DEFLATOR",
"V8000_DEFLA", "COD_IMPUT_VALOR",
"FATOR_ANUALIZACAO", "PESO", "PESO_FINAL",
"RENDA_TOTAL",
"V9005", "V9007", "V9009", "QTD_FINAL", "V9004")
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
# cad_col <- ler_cad_col(2018)
#' @rdname leitura
#' @export
ler_desp_ind <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
regex_file <- stringr::regex("(?<!caderneta_)despesa(_individual)?(_s)?\\.txt",
ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(ler_sas(files, instrucoes, regex_file))
}
tamanhos <- c(2, 4, 1, 9, 2, 1, 2, 2, 2, 7, 2, 10, 2,
2, 1, 1, 1, 12, 10, 1, 2, 14, 14, 10)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "NUM_UC",
"COD_INFORMANTE", "QUADRO", "SEQ", "V9001",
"V9002", "V8000", "V9010", "V9011", "V9012",
"V4104", "V4105", "DEFLATOR", "V8000_DEFLA",
"COD_IMPUT_VALOR", "FATOR_ANUALIZACAO",
"PESO", "PESO_FINAL", "RENDA_TOTAL"
)
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
# desp_ind <- ler_desp_ind(2018)
#' @rdname leitura
#' @export
ler_aluguel <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
if (ano == 2003) {
stop("Alguel está em 'outros gastos' para 2003", call. = FALSE)
}
regex_file <- stringr::regex("aluguel.+?(_s)?\\.txt",
ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(ler_sas(files, instrucoes, regex_file))
}
tamanhos <- c(2, 4, 1, 9, 2, 1, 2, 7, 2, 10, 2,
2, 12, 10, 1, 2, 14, 14, 10)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "NUM_UC", "QUADRO",
"V9001", "V9002", "V8000", "V9010", "V9011",
"DEFLATOR", "V8000_DEFLA", "COD_IMPUT_VALOR",
"FATOR_ANUALIZACAO", "PESO", "PESO_FINAL",
"RENDA_TOTAL"
)
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
# alug <- ler_aluguel(2018)
#' @rdname leitura
#' @export
ler_rend_trab <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
regex_file <- stringr::regex("(?<!outros_|SAS/|de )rendim.+(_s)?\\.txt",
ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(ler_sas(files, instrucoes, regex_file))
}
tamanhos <- c(2,4,1,9,2,1,2,2,1,1,7,1,1,1,1,1,1,7,7,7
,7,2,2,3,1,12,10,10,10,10,1,1,14,14,10,4,5)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "NUM_UC",
"COD_INFORMANTE", "QUADRO", "SUB_QUADRO",
"SEQ", "V9001", "V5302", "V53021", "V5303",
"V5304", "V5305", "V5307", "V8500", "V531112",
"V531122", "V531132", "V9010", "V9011",
"V5314", "V5315", "DEFLATOR", "V8500_DEFLA",
"V531112_DEFLA", "V531122_DEFLA",
"V531132_DEFLA", "COD_IMPUT_VALOR",
"FATOR_ANUALIZACAO", "PESO", "PESO_FINAL",
"RENDA_TOTAL","V53011","V53061"
)
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
# trab <- ler_rend_trab(2018)
#' @rdname leitura
#' @export
ler_rend_outros <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
regex_file <- stringr::regex("outro.+(_s)?\\.txt", ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(ler_sas(files, instrucoes, regex_file))
}
tamanhos <- c(2, 4, 1, 9, 2, 1, 2, 2, 2, 7, 10, 10, 2,
2, 12, 10, 10, 1, 1, 14, 14, 10)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "NUM_UC",
"COD_INFORMANTE", "QUADRO", "SEQ", "V9001",
"V8500", "V8501", "V9010", "V9011",
"DEFLATOR", "V8500_DEFLA", "V8501_DEFLA",
"COD_IMPUT_VALOR", "FATOR_ANUALIZACAO",
"PESO", "PESO_FINAL", "RENDA_TOTAL")
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
# outros <- ler_rend_outros(2018)
#' @rdname leitura
#' @export
ler_domicilio <- function(ano) {
stopifnot(ano %in% c(2003, 2009, 2018))
regex_file <- stringr::regex("domicilio(_s)?\\.txt", ignore_case = TRUE)
files <- dir(path = glue::glue("dados/{ano}/"), recursive = TRUE,
full.names = TRUE)
if (ano %in% c(2003, 2009)) {
instrucoes <- files %>%
stringr::str_subset(stringr::fixed("leitura", ignore_case = TRUE)) %>%
instrucoes_sas()
return(ler_sas(files, instrucoes, regex_file))
}
tamanhos <- c(2,4,1,9,2,1,1,1,1,2,1,1,1,1,1,1,1,1,1,2,
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,14,14,1)
nomes <- c("UF", "ESTRATO_POF", "TIPO_SITUACAO_REG",
"COD_UPA", "NUM_DOM", "V0201", "V0202",
"V0203", "V0204", "V0205", "V0206", "V0207",
"V0208", "V0209", "V02101", "V02102",
"V02103", "V02104", "V02105", "V02111",
"V02112", "V02113", "V0212", "V0213",
"V02141", "V02142", "V0215", "V02161",
"V02162", "V02163", "V02164", "V0217",
"V0219", "V0220", "V0221", "PESO",
"PESO_FINAL", "V6199")
files %>%
stringr::str_subset(regex_file) %>%
ler_pof(tamanhos, nomes)
}
#' Tradutores de rendimento
#'
#' @param ano Ano do tradutor
#' @return Uma tibble com tradutor
#' @rdname tradutores
#' @export
ler_tradutor_rendimento <- function(ano) {
pasta <- dir(glue::glue("dados/{ano}/"), full.names = TRUE, pattern = "[Tt]radutores.+")
arq <- dir(glue::glue("{pasta[[1]]}"), pattern = "[Tt]radutor[_ ][Rr]endimento", full.names = T)
readxl::read_excel(arq) %>%
janitor::clean_names()
}
#' @rdname tradutores
#' @export
ler_tradutor_despesa <- function(ano) {
pasta <- dir(glue::glue("dados/{ano}/"), full.names = TRUE, pattern = "[Tt]radutores.+")
arq <- dir(glue::glue("{pasta[[1]]}"), pattern = "[Tt]radutor[_ ][Dd]espesa_[Gg]eral", full.names = T)
readxl::read_excel(arq) %>%
janitor::clean_names()
}
#' @rdname tradutores
#' @export
ler_tradutor_alimentacao <- function(ano) {
pasta <- dir(glue::glue("dados/{ano}/"), full.names = TRUE, pattern = "[Tt]radutores.+")
arq <- dir(glue::glue("{pasta[[1]]}"), pattern = "[Tt]radutor[_ ][Aa]liment", full.names = T)
readxl::read_excel(arq) %>%
janitor::clean_names()
}
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