Plot Output from Principal Components Analysis Function PCA.FD

Plot Output from Principal Components Analysis Function PCA.FD

DESCRIPTION:

Function pca.fd produces an object of class pcafd. This function plots the information in this object.

USAGE:

plot.pca.fd(pcafd, nx=128, pointplot=T, harm=0, expand=0, cycle=F, ...)

REQUIRED ARGUMENTS:

pcafd
An object of class pcafd.

OPTIONAL ARGUMENTS:

nx
The number of argument values used to plot the harmonics.
pointplot
A logical variable. If pointplot is TRUE, then the harmonics are plotted as + and -, otherwise lines are used.
harm
The number of harmonics to plot
expand
If expand = 0 then the effect of adding +/- 2 standard deviations of each principal component are given. Otherwise the factor expand is used.
cycle
A logical variable. If cycle is TRUE and there are two variables, then a cycle plot will be drawn. If the number of variables is anything else, cycle will be ignored.
...
Additional arguments that can be used in all plotting programs.

VALUE:

A plot of the results of a principal components analysis.

DETAILS:

SEE ALSO:

pca.fd

EXAMPLES: