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 cross models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.

# 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.

See also

tidy(), maps::map()

Examples

if (require("maps") && require("ggplot2")) { 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")) }
#> Loading required package: maps
#> Warning: there is no package called ‘maps’