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.
Dimension names. Defaults to the names of the variables in x. Set to NULL to get names
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
For examples, see the kmeans vignette.
tibble::tibble() with columns:
A factor describing the cluster from 1:k.
Number of points assigned to cluster.
The within-cluster sum of squares.
#> Error in select(., -Species): unused argument (-Species)fit <- pam(x, k = 3)#> Error in inherits(x, "dist"): object 'x' not foundtidy(fit)#> Error in tidy(fit): object 'fit' not foundglance(fit)#> Error in glance(fit): object 'fit' not foundaugment(fit, x)#> Error in augment(fit, x): object 'fit' not found