Multidimensional Scaling Plot

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

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.

References

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

Author

Andreas Brandmaier brandmaier@mpib-berlin.mpg.de

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"))