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 &gt;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>.

&#8230; 

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.
The changes from Version 2.4.1 are fixes of bugs in density.fd and
removal of functions create.polynomial.basis, polynompen, and
polynomial. These were deleted because the monomial basis
does the same thing and because there were errors in the code.

plotscores: Plot Principal Component Scores

Description

Usage

Arguments

Side Effects

See Also