plot.sfclust: Plot function for 'sfclust' objects
In sfclust: Bayesian Spatial Functional Clustering

plot.sfclust

R Documentation

Plot function for `sfclust` objects

Description

This function visualizes the estimated clusters from an sfclust object. It can display: (1) a map of regions colored by their assigned cluster, (2) the functional shapes of the linear predictors for each cluster, and (3) a traceplot of the log marginal likelihood. A conditional legend is added if the number of clusters is less than 10.

Usage

## S3 method for class 'sfclust'
plot(
  x,
  sample = x$clust$id,
  which = 1:3,
  clusters = NULL,
  sort = FALSE,
  legend = FALSE,
  ...
)

Arguments

`x`	An `sfclust` object containing the clustering results, including the cluster assignments and model parameters.
`sample`	Integer specifying the clustering sample number to summarize. Defaults to the last sample.
`which`	Integer vector indicating which plot to display. Options are: - 1: Map of regions colored by cluster assignment. - 2: Functional shapes of the linear predictors for each cluster. - 3: Traceplot of the log marginal likelihood.
`clusters`	Optional vector specifying which clusters to plot. If `NULL`, all clusters are included.
`sort`	Logical value indicating whether clusters should be relabeled based on the number of elements. Default is `FALSE`.
`legend`	Logical value indicating whether a legend should be included in the plot. Default is `FALSE`.
`...`	Additional arguments passed to the underlying plotting functions.