The goal of roadtrafficdeaths is to provide a dataset of death certificates from road traffic crashes that happened in Brazil, from the Brazilian Ministry of Health.
The dataset is provided in the data.frame format. To check each variable, use ?rtdeaths.
Installation
You can install the current version of roadtrafficdeaths from GitHub with:
# install.packages("pak")
pak::pak("pabsantos/roadtrafficdeaths")Example
This is a basic example which shows how to use this package:
library(roadtrafficdeaths)
str(rtdeaths)
#> 'data.frame': 1005743 obs. of 23 variables:
#> $ cid : chr "V789" "V099" "V234" "V284" ...
#> $ cod_modal_vitima : chr "V7" "V0" "V2" "V2" ...
#> $ modal_vitima : chr "Ônibus" "Pedestre" "Motocicleta" "Motocicleta" ...
#> $ cod_modal_outro : chr "8" "9" "3" "8" ...
#> $ modal_outro : chr "Sem colisão" "Não especificado" "Automóvel" "Sem colisão" ...
#> $ data_ocorrencia : Date, format: "1999-02-22" "1999-03-28" ...
#> $ ano_ocorrencia : num 1999 1999 1999 2014 2018 ...
#> $ idade_vitima : num 33 58 28 25 24 30 20 23 49 24 ...
#> $ faixa_etaria_vitima: Factor w/ 17 levels "0 a 4 anos","5 a 9 anos",..: 7 12 6 6 5 7 5 5 10 5 ...
#> $ sexo_vitima : chr "Masculino" "Feminino" "Masculino" "Masculino" ...
#> $ escolaridade_vitima: chr NA NA NA "de 1 a 3 anos" ...
#> $ raca_vitima : chr "Parda" "Preta" "Parda" "Parda" ...
#> $ ocup_cbo_vitima : chr "00034" "00612" "00004" "622020" ...
#> $ estado_civil_vitima: chr NA NA NA "solteiro" ...
#> $ local_ocor : chr "saude" "hospital" "saude" "via" ...
#> $ cod_municipio_ocor : chr "270630" "270030" "270750" "280240" ...
#> $ nome_regiao_ocor : chr "Nordeste" "Nordeste" "Nordeste" "Nordeste" ...
#> $ cod_municipio_res : chr "270760" "270260" "270030" "280240" ...
#> $ nome_regiao_res : chr "Nordeste" "Nordeste" "Nordeste" "Nordeste" ...
#> $ nome_uf_ocor : chr "Alagoas" "Alagoas" "Alagoas" "Sergipe" ...
#> $ nome_municipio_ocor: chr "Palmeira dos Índios" "Arapiraca" "Porto Real do Colégio" "Gararu" ...
#> $ nome_uf_res : chr "Alagoas" "Alagoas" "Alagoas" "Sergipe" ...
#> $ nome_municipio_res : chr "Quebrangulo" "Feira Grande" "Arapiraca" "Gararu" ...Credits
The authors of this package would like to thank the authors of microdatasus:
Saldanha, R. D. F., Bastos, R. R., & Barcellos, C. (2019). Microdatasus: pacote para download e pré-processamento de microdados do Departamento de Informática do SUS (DATASUS) (Version 1.0.0) [Computer software]. https://doi.org/10.1590/0102-311X00032419
Citation
If you use this package, please cite as follow:
citation("roadtrafficdeaths")
#> To cite package 'roadtrafficdeaths' in publications use:
#>
#> Santos PAB, Saraiva JPM (2023). _roadtrafficdeaths: Road Traffic
#> Deaths Data from Brazil_. R package version 0.6.0,
#> https://github.com/pabsantos/roadtrafficdeaths,
#> <https://pabsantos.github.io/roadtrafficdeaths/>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {roadtrafficdeaths: Road Traffic Deaths Data from Brazil},
#> author = {Pedro Augusto Borges Santos and João Pedro Melani Saraiva},
#> year = {2023},
#> note = {R package version 0.6.0, https://github.com/pabsantos/roadtrafficdeaths},
#> url = {https://pabsantos.github.io/roadtrafficdeaths/},
#> }