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, ...)
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.
# NOT RUN {
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"))
}
# }
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