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: