Tidy a(n) pam object
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 'pam' tidy(x, col.names = paste0("x", 1:ncol(x$medoids)), ...)
x |
An |
col.names |
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
absorbed in |
For examples, see the pam vignette.
A tibble::tibble()
with columns:
size |
Size of each cluster. |
max.diss |
Maximal dissimilarity between the observations in the cluster and that cluster's medoid. |
avg.diss |
Average dissimilarity between the observations in the cluster and that cluster's medoid. |
diameter |
Diameter of the cluster. |
separation |
Separation of the cluster. |
avg.width |
Average silhouette width of the cluster. |
cluster |
A factor describing the cluster from 1:k. |
Other pam tidiers:
augment.pam()
,
glance.pam()
## Not run: library(dplyr) library(ggplot2) library(cluster) library(modeldata) data(hpc_data) x <- hpc_data[, 2:5] p <- pam(x, k = 4) tidy(p) glance(p) augment(p, x) augment(p, x) %>% ggplot(aes(compounds, input_fields)) + geom_point(aes(color = .cluster)) + geom_text(aes(label = cluster), data = tidy(p), size = 10) ## End(Not run)
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