R: Multidimensional Scaling Plot

mdsPlot {pdc} | R Documentation

## Multidimensional Scaling Plot

### Description

Plots a two-dimensional projection to the principal coordinates of all observations. Clusters are shown as polygonal convex hulls of their members.

### Usage

    	mdsPlot (X, labels = NULL, col = "gray")

### Arguments

`X` | A `pdclust` object.
`labels` | Optional. A vector of labels for the observations. If NULL, column names of the dataset are used.
`col` | A vector of colors for polygon shading.

### Author(s)

Andreas Brandmaier brandmaier@mpib-berlin.mpg.de

### References

Brandmaier, A. M. (2015). pdc: An R Package for Complexity-Based Clustering of Time Series. Journal of Statistical Software, 67(5), 1–23.

### See Also

`pdclust`

### Examples

    data("complex.shapes")
    truth <- c(rep("fish",5),rep("bottle",4),rep("glasses",5))
    clust <- pdclust(complex.shapes, t=5)
    mdsPlot(clust, truth, col=c("lightblue","lightgreen","lightgray"))

[Package pdc version 1.0.3 Index]