plotscores

an object of the "pca.fd" class that is output by function
<code>pca.fd</code>.

pcafd

the indices of the harmonics for which coefficients are
plotted.

scores

xlab

ylab

an integer:
if loc  >0, you can then click on the plot in loc places and you'll get
plots of the functions with these values of the principal component
coefficients.

a logical value:
if <code>TRUE</code>, the curves are plotted on the same plot;
otherwise, they are plotted separately.

matplt2

additional plotting arguments used in function <code>plot</code>.

The coefficients multiplying the harmonics or principal component functions
are plotted as points.

smooth

These functions were developed to support functional data
        analysis as described in Ramsay, J. O. and Silverman, B. W.
        (2005) Functional Data Analysis. New York: Springer.  They were
        ported from earlier versions in Matlab and S-PLUS.  An
        introduction appears in Ramsay, J. O., Hooker, Giles, and
        Graves, Spencer (2009) Functional Data Analysis with R and
        Matlab (Springer). The package includes data sets and script
        files working many examples including all but one of the 76
        figures in this latter book.  Matlab versions of the code and
        sample analyses are no longer distributed through CRAN, as they
        were when the book was published.  For those, ftp from
        http://www.psych.mcgill.ca/misc/fda/downloads/FDAfuns/
        There you find a set of .zip files containing the functions and
        sample analyses, as well as two .txt files giving instructions for
        installation and some additional information.

plotscores: Plot Principal Component Scores

Description

Usage

Arguments

Side Effects

See Also