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.
Note that the sf
package now defines tidy spatial objects
and is the recommended approach to spatial data. sp
tidiers are now
deprecated in favor of sf::st_as_sf()
and coercion methods found in
other packages. See
https://r-spatial.org/r/2023/05/15/evolution4.html for more on
migration from retiring spatial packages.
Usage
# S3 method for SpatialPolygonsDataFrame
tidy(x, region = NULL, ...)
# S3 method for SpatialPolygons
tidy(x, ...)
# S3 method for Polygons
tidy(x, ...)
# S3 method for Polygon
tidy(x, ...)
# S3 method for SpatialLinesDataFrame
tidy(x, ...)
# S3 method for Lines
tidy(x, ...)
# S3 method for Line
tidy(x, ...)