pca_kmeans_plot3D: 3D PCA k-means plot (interactive)
In specmine: Metabolomics and Spectral Data Analysis and Mining

Groups the points with the clusters given by k-means in a interactive 3D PCA scores plot.

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pca_kmeans_plot3D(dataset, pca.result, num.clusters = 3, 
pcas = c(1, 2, 3), kmeans.result = NULL, labels = FALSE, 
size = 1, ...)

`dataset`	list representing the dataset from a metabolomics experiment.
`pca.result`	prcomp object with the PCA results.
`num.clusters`	number of clusters of k-means.
`pcas`	vector with the principal components to be plotted.
`kmeans.result`	result from k-means. If null k-means is performed in the function.
`labels`	boolean value indicating if the samples' labels will be shown.
`size`	parameter of plot3d from rgl package.
`...`	additional parameters of plot3d function from rgl package.

  ### Example of a 3D PCA k-means plot
  library(specmine.datasets)
  data(cachexia)
  pca.result = pca_analysis_dataset(cachexia)
  pca_kmeans_plot3D(cachexia, pca.result, num.clusters = 3, 
    		    pcas = c(1,2,3))