
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.
# S3 method for map
tidy(x, ...)
A tibble::tibble()
with columns:
The name of the regression term.
Longitude.
Latitude.
Remaining columns give information on geographic attributes and depend on the inputted map object. See ?maps::map for more information.
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
. Two exceptions here are:
tidy()
methods will warn when supplied an exponentiate
argument if
it will be ignored.
augment()
methods will warn when supplied a newdata
argument if it
will be ignored.
tidy()
, maps::map()
if (FALSE) { # rlang::is_installed("maps")
# 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")
)
}
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