plot_choro: Plot a Choropleth

In ramhiser/noncensus: U.S. Census Regional and Demographic Data

Description

This function takes a dataframe and generates a choropleth plot

Usage

plot_choro(df, fill, map = c("county", "state"), palette = "Blues",
  cuts = NULL, continental = TRUE)

Arguments

df	The dataframe with column "fips" (the FIPS code of the counties or states to show), with a column for the data to show
fill	The name of the variable to show in the choropleth
map	The level at which to draw the map. Options are "county", "state"
palette	An RColorBrewer palette to use. Default is "Blues"
cuts	An optional vector specifying where to make the color breaks Default cuts are the 20th, 40th, 60th, and 80th percentiles
continental	A logical whether to show the continental US

Examples

data(population_age, package = "noncensus")
df <- plyr::ddply(population_age, "fips", summarize, population = sum(population))
plot_choro(df, fill = "population", map = "county", palette = "Purples",
continental = TRUE)

ramhiser/noncensus documentation built on May 26, 2019, 10:11 p.m.