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, ...)
x | A |
---|---|
... | Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
A tibble::tibble()
with columns:
The name of the regression term.
Longitude.
Latitude.
if (requireNamespace("maps", quietly = TRUE)) { 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") ) } #> #> Attaching package: ‘maps’ #> The following object is masked from ‘package:mclust’: #> #> map