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+#' A Simple Features Dataframe of Brazilian states and municipalities.
+#'
+#' \itemize{
+#' \item name \code{character}. Full name of Brazilian municpality.
+#' \item state \code{character}. Acronym of Brazilian state.
+#' \item ibge_code \code{character}. IBGE code of municipality.
+#' \item geometry \code{character}. Simple features geometry.
+#' }
+#'
+#' @format A data frame with 5564 rows and 4 variables
+"br_municipalities"
+#> [1] "br_municipalities"

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+#' @importFrom dplyr filter
+#' @importFrom congressbr UF
+
+#' @export
+UF <- function() congressbr::UF
+
+#' @param state Two-letter abbreviation of Brazilian state name. Use \code{UF()} for
+#' a list.
+#' @export
+select_state <- function(state) {
+
+ uf <- c("AC", "AL", "AP", "AM", "BA", "CE", "DF", "ES",
+ "GO", "MA", "MT", "MS", "MG", "PA", "PB", "PR",
+ "PE", "PI", "RJ", "RN", "RS", "RO", "RR", "SC",
+ "SP", "SE", "TO")
+
+ if(!state %in% uf) stop("State not found. Try `UF()` for a list of possibilities.")
+
+ data("br_municipalities")
+
+ st <- rlang::enquo(state)
+
+ br_state <- br_municipalities %>%
+ dplyr::filter(state == !! st)
+
+ return(br_state)
+
+}
+
+#' @param municipality . Name of municipality. For a dataframe of these, plus their
+#' state and ID, use \code{data("ibge")}.
+#' @export
+select_municipality <- function(municipality){
+ mun <- enquo(municipality)
+
+ br_mun <- br_municipalities %>%
+ dplyr::filter(name == !! mun)
+
+ return(br_mun)
+
+}

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+---
+output: github_document
+---
+
+<!-- README.md is generated from README.Rmd. Please edit that file -->
+
+```{r setup, include = FALSE}
+knitr::opts_chunk$set(
+ collapse = TRUE,
+ comment = "#>",
+ fig.path = "man/figures/README-",
+ out.width = "100%"
+)
+```
+# simplefeaturesbr
+
+The goal of simplefeaturesbr is to make [Simple Features](https://en.wikipedia.org/wiki/Simple_Features) tidy data frames of Brazilian states and municipalities easily available in R.
+
+## Installation
+
+You can install simplefeaturesbr with: 
+
+``` r
+remotes::install_github("BrazilianPublicData/simplefeaturesbr")
+```
+
+## Usage
+
+simplefeaturesbr has a main dataset, `br_municipalities`, and some simple convenience functions to select from this dataset. You can access the data with: 
+
+```{r}
+data("br_municipalities")
+``` 
+
+It looks like this: 
+
+```{r}
+head(br_municipalities)
+```
+
+If you are interested in a specific state, use `select_state()`: 
+```{r}
+select_state("SP")
+``` 
+
+If you'd like to get data for a specific municipality, use `select_municipality()`:
+```{r}
+select_municipality("Sao Paulo")
+``` 
+
+There are two other things to help you. If you can't remember which [IBGE](https://www.ibge.gov.br/en/home-eng.html) code (two-letter abbreviations of Brazilian states) you need, use `UF()` (copy of a simple function from [congressbr](https://github.com/BrazilianPublicData/congressbr)):
+
+```{r}
+UF()
+```
+
+## Why?
+Simple features make _much_ smaller dataframes than spatial polygons. You can plot them easily with ggplot2's `geom_sf()`: 
+
+```{r}
+library(dplyr); library(ggplot2)
+
+select_municipality("Rio de Janeiro") %>% ggplot() + geom_sf()
+```
+
+Nice.

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+# Hello, world!
+#
+# This is an example function named 'hello' 
+# which prints 'Hello, world!'.
+#
+# You can learn more about package authoring with RStudio at:
+#
+# http:https://r-pkgs.had.co.nz/
+#
+# Some useful keyboard shortcuts for package authoring:
+#
+# Install Package: 'Cmd + Shift + B'
+# Check Package: 'Cmd + Shift + E'
+# Test Package: 'Cmd + Shift + T'
+
+hello <- function() {
+ print("Hello, world!")
+}

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+#' @importFrom dplyr filter
+#' @importFrom congressbr UF
+#' @title Print Brazilian State Abbreviations to the Console
+#' @export
+UF <- function() {
+ uf <- c("AC", "AL", "AP", "AM", "BA", "CE", "DF", "ES",
+ "GO", "MA", "MT", "MS", "MG", "PA", "PB", "PR",
+ "PE", "PI", "RJ", "RN", "RS", "RO", "RR", "SC",
+ "SP", "SE", "TO")
+ print(uf)
+}
+
+#' @title Load Simple Features DataFrame of a Brazilian State
+#' @param state Two-letter abbreviation of Brazilian state name. Use \code{UF()} for
+#' a list.
+#' @export
+select_state <- function(state) {
+
+ uf <- c("AC", "AL", "AP", "AM", "BA", "CE", "DF", "ES",
+ "GO", "MA", "MT", "MS", "MG", "PA", "PB", "PR",
+ "PE", "PI", "RJ", "RN", "RS", "RO", "RR", "SC",
+ "SP", "SE", "TO")
+
+ if(!state %in% uf) stop("State not found. Try `UF()` for a list of possibilities.")
+
+ data("br_municipalities")
+
+ st <- rlang::enquo(state)
+
+ br_state <- br_municipalities %>%
+ dplyr::filter(state == !! st)
+
+ return(br_state)
+
+}
+
+#' @title Load Simple Features DataFrame of a Brazilian Municipality
+#' @param municipality Name of municipality. For a dataframe of these, plus their
+#' state and ID, use \code{data("ibge")}.
+#' @export
+select_municipality <- function(municipality){
+ mun <- enquo(municipality)
+
+ br_mun <- br_municipalities %>%
+ dplyr::filter(name == !! mun)
+
+ return(br_mun)
+
+}

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+Package: simplefeaturesbr
+Type: Package
+Title: Simple Features Tidy Dataframes of Brazilian Municipalities in R
+Version: 0.1.0
+Author: Robert Myles McDonnell
+Maintainer: Robert Myles McDonnell <[email protected]>
+Description: Makes Simple Features (sf) tidy dataframes of Brazilian municipalities easily available in R.
+License: MIT + file LICENSE
+Encoding: UTF-8
+LazyData: true
+RoxygenNote: 6.1.1

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.gitignore

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+.DS_Store

DESCRIPTION

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+Package: simplefeaturesbr
+Type: Package
+Title: Simple Features Tidy Dataframes of Brazilian Municipalities in R
+Version: 0.1.0
+Author: Robert Myles McDonnell
+Maintainer: Robert Myles McDonnell <[email protected]>
+Description: Makes Simple Features (sf) tidy dataframes of Brazilian municipalities easily available in R.
+License: MIT + file LICENSE
+Encoding: UTF-8
+LazyData: true
+RoxygenNote: 6.1.1

LICENSE

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+YEAR: 2018
+COPYRIGHT HOLDER: Robert Myles McDonnell