choroplethr (version 1.3.0)

choroplethr: Create a choropleth

Description

Creates a choropleth from a specified data.frame and level of detail.

Usage

choroplethr(df, lod, num_buckets = 9, title = "", scaleName = "",
  showLabels = T, states = state.abb)

Arguments

df

A data.frame with a column named "region" and a column named "value"

lod

A string indicating the level of detail of the map. Must be "state", "county" or "zip".

num_buckets

The number of equally sized buckets to places the values in. A value of 1 will use a continuous scale, and a value in [2, 9] will use that many buckets. For example, 2 will show values above or below the median, and 9 will show the maximum resolu

title

A title for the map. Defaults to "".

scaleName

An optional label for the legend. Defaults to "".

showLabels

For state choropleths, whether or not to show state abbreviations on the map. Defaults to T.

states

A vector of states to render. Defaults to state.abb.

Value

• A choropleth

See Also

choroplethr_acs which generates choropleths from Census tables.

Examples

# a state choropleth
df = data.frame(region=state.abb, value=sample(100, 50))
choroplethr(df, lod="state")

# a county choropleth
data(county.fips, package="maps")
df = data.frame(region=county.fips$fips, value=sample(100, nrow(county.fips), replace=TRUE))
choroplethr(df, "county", 2)

# a zip choropleth
data(zipcode, package="zipcode", envir=environment())
df = data.frame(region=zipcode$zi, value = sample(100, nrow(zipcode), replace=TRUE))
choroplethr(df, "zip", 9)