The purpose of the CFPr package is to provide tables contained on the Brazilian Federal Psychology Council website within the R environment with ease in a clean and nice format.
Installation
You can install the current version of CFPr with:
install.packages("remotes")
remotes::install_github("brunomontezano/CFPr")Usage
You can choose between three tables
- By-state table (
tabela_estado()) - By-council table (
tabela_regional()) - By-gender table (
tabela_sexo())
Let’s suppose I want to check the number of psychologists of each gender in brazilian states. In this case, I should use the tabela_sexo function:
# Load the package
library(CFPr)
# Assign data to an R object and then print it
bysex_table <- tabela_sexo()
bysex_table
#> # A tibble: 29 × 4
#> estado feminino masculino nao_informado
#> <chr> <dbl> <dbl> <dbl>
#> 1 Acre 891 166 73
#> 2 Alagoas 4290 727 24
#> 3 Amapá 805 160 170
#> 4 Amazonas 4516 834 197
#> 5 Bahia 16874 2673 246
#> 6 Ceará 8651 1596 2121
#> 7 Distrito Federal 11070 1940 340
#> 8 Espírito Santo 6373 1222 69
#> 9 Goiás 10155 1294 199
#> 10 Maranhão 3513 643 31
#> # … with 19 more rowsTo Do
- Plotting functions. Is it necessary?
- Restructure workflow to provide data (as data and not function-based). Is it better?
Acknowledgement
I’d like to thank the Brazilian Federal Council of Psychology for making the data available to the population.
Contact
Feel free to leave an issue to improve the package, and contact me through this email.
