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.
Arguments
- x
A
kmeans
object created bystats::kmeans()
.- col.names
Dimension names. Defaults to the names of the variables in x. Set to NULL to get names
x1, x2, ...
.- ...
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 passconf.lvel = 0.9
, all computation will proceed usingconf.level = 0.95
. Two exceptions here are:
See also
Other kmeans tidiers:
augment.kmeans()
,
glance.kmeans()
Value
A tibble::tibble()
with columns:
- cluster
A factor describing the cluster from 1:k.
- size
Number of points assigned to cluster.
- withinss
The within-cluster sum of squares.