The map used is country.map in the choroplethrMaps package. See country.regions for an object which can help you coerce your regions into the required format.

country_choropleth(df, title = "", legend = "", num_colors = 7,
zoom = NULL)

## Arguments

df A data.frame with a column named "region" and a column named "value". Elements in the "region" column must exactly match how regions are named in the "region" column in ?country.map. An optional title for the map. An optional name for the legend. The number of colors to use on the map. A value of 0 uses a divergent scale (useful for visualizing negative and positive numbers), A value of 1 uses a continuous scale (useful for visualizing outliers), and a value in [2, 9] will use that many quantiles. An optional vector of countries to zoom in on. Elements of this vector must exactly match the names of countries as they appear in the "region" column of ?country.regions

## Examples

# demonstrate default options
data(df_pop_country)
country_choropleth(df_pop_country, "2012 World Bank Populate Estimates")#> Warning: The following regions were missing and are being set to NA: namibia, western sahara, taiwan, antarctica, kosovo
# demonstrate continuous scale
country_choropleth(df_pop_country, "2012 World Bank Populate Estimates", num_colors=1)#> Warning: The following regions were missing and are being set to NA: namibia, western sahara, taiwan, antarctica, kosovo
# demonstrate zooming
country_choropleth(df_pop_country,
"2012 World Bank Population Estimates",
num_colors=1,
zoom=c("united states of america", "canada", "mexico"))