autoplot.mcaps: Visualizes results of multiple clustering strategies using...

In fdacluster: Joint Clustering and Alignment of Functional Data

Visualizes results of multiple clustering strategies using ggplot2

Description

This is an S3 method implementation of the ggplot2::autoplot() generic for objects of class mcaps to visualize the performances of multiple caps objects applied on the same data sets either in terms of WSS or in terms of silhouette values.

Usage

## S3 method for class 'mcaps'
autoplot(
  object,
  validation_criterion = c("wss", "silhouette"),
  what = c("mean", "distribution"),
  ...
)

Arguments

object	An object of class mcaps.
validation_criterion	A string specifying the validation criterion to be used for the comparison. Choices are "wss" or "silhouette". Defaults to "wss".
what	A string specifying the kind of information to display about the validation criterion. Choices are "mean" (which plots the mean values) or "distribution" (which plots the boxplots). Defaults to "mean".
...	Other arguments passed to specific methods.

Value

An object of class ggplot2::ggplot.

Examples

p <- ggplot2::autoplot(sim30_mcaps)

fdacluster documentation built on July 9, 2023, 6:45 p.m.