tidy.map | R Documentation |
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 class '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:
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.
tidy()
, maps::map()
# 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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