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.
Column names in the input data frame. Defaults to the names of the variables in x.
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
For examples, see the pam vignette.
tibble::tibble() with columns:
Size of each cluster.
Maximal dissimilarity between the observations in the cluster and that cluster's medoid.
Average dissimilarity between the observations in the cluster and that cluster's medoid.
Diameter of the cluster.
Separation of the cluster.
Average silhouette width of the cluster.
A factor describing the cluster from 1:k.
#> Error in select(., -Species): unused argument (-Species)p <- pam(x, k = 3)#> Error in inherits(x, "dist"): object 'x' not foundtidy(p)#> Error in tidy(p): object 'p' not foundglance(p)#> Error in glance(p): object 'p' not foundaugment(p, x)#> Error in augment(p, x): object 'p' not foundaugment(p, x) %>% ggplot(aes(Sepal.Length, Sepal.Width)) + geom_point(aes(color = .cluster)) + geom_text(aes(label = cluster), data = tidy(p), size = 10)#> Error in augment(p, x): object 'p' not found