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")
)A dataframe with countries as cases
The column name in the data that holds
the unique names of each country
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")
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
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)
}