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Natanaelsl committed May 15, 2024
1 parent 0a30dc4 commit 2a3355f
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2 changes: 1 addition & 1 deletion R/RGFdata.R
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Expand Up @@ -24,7 +24,7 @@
#'
#' # Extraindo dados do anexo 1 para o 3º quadrimestre
#' # do RGF de 2020 até 2023 do Estado de Goiás para todos os poderes.
#' RGFdata(cod.ibge = 52,
#' RGFdata(cod.ibge = 52,
#' ano = c(2020:2023),
#' poder = c('E','L','J','D','M'),
#' periodo = 3,
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2 changes: 1 addition & 1 deletion R/siconfi_list.R
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Expand Up @@ -14,7 +14,7 @@
#' devtools::install_github("Natanaelsl/RREORGFdataR")
#'
#' # Carregando o pacote
#' library(RREORGFdataR)
#' library(RREORGFdataR)
#'
#' # Reportando `data.frame` com os códigos disponibilizados pelo Tesouro Nacional
#' siconfi_list() %>%
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2 changes: 1 addition & 1 deletion man/RGFdata.Rd

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2 changes: 1 addition & 1 deletion man/siconfi_list.Rd

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18 changes: 9 additions & 9 deletions vignettes/RGF.Rmd
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Expand Up @@ -31,9 +31,9 @@ Para começar, carregaremos alguns pacotes necessários. Como estou dentro do pa


```{r setup, message = FALSE, warning=FALSE}
# library(RREORGFdataR)
# library(dplyr)
# library(ggplot2)
library(RREORGFdataR)
library(dplyr)
library(ggplot2)
```

## Exemplo
Expand All @@ -45,12 +45,12 @@ Dessa forma, podemos extrair do Anexo 1 (3º quadrimestre) de 2017 a 2023 os val
Verifique o exemplo [aqui](https://natanaelsl.com.br/project/rreorgf_pkg/).

```{r, message=FALSE, fig.align='center', out.width="\\linewidth", fig.width=4, fig.height=3}
# RREORGFdataR::RGFdata(cod.ibge = 1,
# ano = c(2017:2023),
# poder = 'E',
# periodo = 3,
# anexo = 1
# )
RREORGFdataR::RGFdata(cod.ibge = 1,
ano = c(2017:2023),
poder = 'E',
periodo = 3,
anexo = 1
)
#
# `RGF-Anexo_01` <- `RGF-Anexo_01` %>%
# filter(rotulo == "União",
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