plot_cluster: Convenience function to create a cluster plot using either...

In pentalibra/ggcluster: Tools for creating cluster plots, tree plots and dendrograms using ggplot.

Description

This function creates a cluster plot of the cluster data point on the first two axes of a principal component analysis. An ellipsoid-hull is fitted round each cluster.

Usage

  plot_cluster(data, model, xLabel = "Component 1", yLabel
  = "Component 2", pca_function = princomp,
  ellipse_quantile = 1, segment_names = NULL)

Arguments

data	a data frame to be used in clustering
model	a cluster model of class kmeans or Mclust
xLabel	x-axis label
yLabel	y-axis label
pca_function	The method for calculating principal components. Must be either princomp or prcomp
ellipse_quantile	The quantile for plotting ellipsoids around clusters. For a value of 1, the ellipsoid will be an ellipsoid-hull, i.e. all points will be included.
segment_names	Character vector with cluster names

Examples

data(iris)
iris <- iris[, -5]

# Using kmeans for the clustering
plot_cluster(iris, kmeans(iris, 3))

# Using Mclust for the clustering
require(mclust)
plot_cluster(iris, Mclust(iris, 3))

pentalibra/ggcluster documentation built on May 25, 2019, 12:46 a.m.