mWorldMap takes in one dataframe that includes information about different countries. It merges this dataframe with a dataframe that includes geographical coordinate information. Depending on the arguments passed, it returns this data or a ggplot object constructed with the data.

mWorldMap(
  data = NULL,
  key = NA,
  fill = NULL,
  plot = c("borders", "frame", "none")
)

Arguments

data

A dataframe with countries as cases

key

The column name in the data that holds the unique names of each country

fill

A variable in the data used to specify the fill color of countries in the map (note: if fill is not null, then plot cannot be set to "none")

plot

The plot desired for the output. plot = "none" returns the merged data that is the result of merging the data and the dataframe with the geographical coordinate information; plot = "frame" returns an empty (unplottable) ggplot object; plot = "border" (the default) returns a ggplot object with one geom_polygon layer that shows the borders of the countries

Examples

if (FALSE) {
gdpData <- CIAdata("GDP")      # load some world data

mWorldMap(gdpData, key="country", fill="GDP")

gdpData <- gdpData |> mutate(GDP5 = ntiles(-GDP, 5, format="rank")) 
mWorldMap(gdpData, key="country", fill="GDP5")

mWorldMap(gdpData, key="country", plot="frame") +
geom_point()

mergedData <- mWorldMap(gdpData, key="country", plot="none")

ggplot(mergedData, aes(x=long, y=lat, group=group, order=order)) +
geom_polygon(aes(fill=GDP5), color="gray70", size=.5) + guides(fill=FALSE)  
}