broom (version 0.8.0)

tidy.map: Tidy a(n) map object

Description

Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.

Usage

# S3 method for map
tidy(x, ...)

Arguments

x

A map object returned from maps::map().

...

Additional arguments. Not used. Needed to match generic signature only. Cautionary note: Misspelled arguments will be absorbed in ..., where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass conf.lvel = 0.9, all computation will proceed using conf.level = 0.95. Additionally, if you pass newdata = my_tibble to an augment() method that does not accept a newdata argument, it will use the default value for the data argument.

Value

A tibble::tibble() with columns:

term

The name of the regression term.

long

Longitude.

lat

Latitude.

Remaining columns give information on geographic attributes and depend on the inputted map object. See ?maps::map for more information.

See Also

tidy(), maps::map()

Examples

# NOT RUN {
# feel free to ignore the following line<U+2014>it allows {broom} to supply 
# examples without requiring the model-supplying package to be installed.
if (requireNamespace("maps", quietly = TRUE)) {

# load libraries for models and data
library(maps)
library(ggplot2)

ca <- map("county", "ca", plot = FALSE, fill = TRUE)

tidy(ca)

qplot(long, lat, data = ca, geom = "polygon", group = group)

tx <- map("county", "texas", plot = FALSE, fill = TRUE)
tidy(tx)
qplot(long, lat,
  data = tx, geom = "polygon", group = group,
  colour = I("white")
)

}

# }