clustMDparcoord: Parallel coordinates plot adapted for 'clustMD' output

In clustMD: Model Based Clustering for Mixed Data

Description

Produces a parallel coordinates plot as parcoord in the MASS library with some minor adjustments.

Usage

clustMDparcoord(x, col = 1, xlabels = NULL, lty = 1, var.label = FALSE,
  xlab = "", ylab = "", ...)

Arguments

x	a matrix or data frame who columns represent variables. Missing values are allowed.
col	a vector of colours, recycled as necessary for each observation.
xlabels	a character vector of variable names for the x axis.
lty	a vector of line types, recycled as necessary for each observation.
var.label	if TRUE, each variable's axis is labelled with maximum and minimum values.
xlab	label for the X axis.
ylab	label for the Y axis.
...	further graphics parameters which are passed to matplot.

Value

A parallel coordinates plot is drawn with one line for each cluster.

References

Wegman, E. J. (1990) Hyperdimensional data analysis using parallel coordinates. Journal of the American Statistical Association 85, 664-675.

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

clustMD documentation built on May 2, 2019, 2:09 a.m.