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Process CNES variables from DataSUS

Source: R/process_cnes.R
process_cnes.Rd

process_cnes processes CNES variables retrieved by fetch_datasus().

Usage

process_cnes(
  data,
  information_system = c("CNES-ST", "CNES-PF"),
  nomes = FALSE,
  municipality_data = TRUE
)

Arguments

data

data.frame created by fetch_datasus().

information_system

string. CNES-ST or CNES-PF

nomes

optional logical. FALSE by default, downloads extra data and add FANTASIA names to the dataset.

municipality_data

optional logical. TRUE by default, creates new variables in the dataset informing the full name and other details about the municipality of residence.

Value

a data.frame with the processed data.

Details

This function processes CNES-ST (Estabelecimentos) or CNES-PF (Pessoa f\u00edsica) variables retrieved by fetch_datasus(), informing labels for categoric variables including NA values.

Examples

process_cnes(cnes_st_sample, information_system = "CNES-ST")
#> # A tibble: 100 × 209
#>    CNES    CODUFMUN COD_CEP  CPF_CNPJ     PF_PJ NIV_DEP CNPJ_MAN COD_IR REGSAUDE
#>    <chr>   <chr>    <chr>    <chr>        <chr> <chr>   <chr>    <chr>  <chr>   
#>  1 2002043 120001   69945000 00000000000… Pess… Mantida 8430673… NA     NA      
#>  2 2002159 120001   69945000 00000000000… Pess… Mantida 8430673… NA     NA      
#>  3 3006166 120001   69945000 00000000000… Pess… Mantida 8430673… NA     NA      
#>  4 3382745 120001   69945000 00000000000… Pess… Mantida 8430673… NA     NA      
#>  5 3393984 120001   69945000 00000000000… Pess… Mantida 8430673… NA     NA      
#>  6 3638685 120001   69945000 00000000000… Pess… Mantida 8430673… NA     NA      
#>  7 5403669 120001   69945000 00000000000… Pess… Mantida 8430673… NA     NA      
#>  8 5701929 120001   69945000 00000000000… Pess… Mantida 4034526… NA     NA      
#>  9 6514669 120001   69945000 00000000000… Pess… Mantida 8430673… NA     NA      
#> 10 7026641 120001   69945000 00000000000… Pess… Mantida 4034526… NA     NA      
#> # ℹ 90 more rows
#> # ℹ 200 more variables: MICR_REG <chr>, DISTRSAN <chr>, DISTRADM <chr>,
#> #   VINC_SUS <chr>, TPGESTAO <chr>, ESFERA_A <chr>, RETENCAO <chr>,
#> #   ATIVIDAD <chr>, NATUREZA <chr>, CLIENTEL <chr>, TP_UNID <chr>,
#> #   TURNO_AT <chr>, NIV_HIER <chr>, TP_PREST <chr>, CO_BANCO <chr>,
#> #   CO_AGENC <chr>, C_CORREN <chr>, CONTRATM <chr>, DT_PUBLM <chr>,
#> #   CONTRATE <chr>, DT_PUBLE <chr>, ALVARA <chr>, DT_EXPED <chr>, …
process_cnes(cnes_pf_sample, information_system = "CNES-PF")
#> # A tibble: 100 × 48
#>    CNES    CODUFMUN REGSAUDE MICR_REG DISTRSAN DISTRADM TPGESTAO  PF_PJ CPF_CNPJ
#>    <chr>   <chr>    <chr>    <chr>    <chr>    <chr>    <chr>     <chr> <chr>   
#>  1 2002043 120001   NA       NA       NA       NA       Municipal Pess… 0       
#>  2 2002159 120001   NA       NA       NA       NA       Municipal Pess… 0       
#>  3 3006166 120001   NA       NA       NA       NA       Municipal Pess… 0       
#>  4 3006166 120001   NA       NA       NA       NA       Municipal Pess… 0       
#>  5 3006166 120001   NA       NA       NA       NA       Municipal Pess… 0       
#>  6 3006166 120001   NA       NA       NA       NA       Municipal Pess… 0       
#>  7 3006166 120001   NA       NA       NA       NA       Municipal Pess… 0       
#>  8 3006166 120001   NA       NA       NA       NA       Municipal Pess… 0       
#>  9 3006166 120001   NA       NA       NA       NA       Municipal Pess… 0       
#> 10 3006166 120001   NA       NA       NA       NA       Municipal Pess… 0       
#> # ℹ 90 more rows
#> # ℹ 39 more variables: NIV_DEP <chr>, CNPJ_MAN <chr>, ESFERA_A <chr>,
#> #   ATIVIDAD <chr>, RETENCAO <chr>, NATUREZA <chr>, CLIENTEL <chr>,
#> #   TP_UNID <chr>, TURNO_AT <chr>, NIV_HIER <chr>, TERCEIRO <chr>,
#> #   CPFUNICO <chr>, CBO <chr>, CBOUNICO <chr>, NOMEPROF <chr>, CNS_PROF <chr>,
#> #   CONSELHO <chr>, REGISTRO <chr>, VINCULAC <chr>, VINCUL_C <chr>,
#> #   VINCUL_A <chr>, VINCUL_N <chr>, PROF_SUS <chr>, PROFNSUS <chr>, …