Fstat.fd

the dependent variable object.  It may be:
    <ul><li>a vector if the dependent variable is scalar.</li><li>a functional data object if the dependent variable is functional.</li></ul>

The predicted values corresponding to <code>y</code>. It must be of the same class.

yhat

If <code>yfdPar</code> is a functional data object, the points at which to evaluate
    the pointwise F-statistic.

argvals

Fstat.fd calculates a pointwise F-statistic for functional linear regression.

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.

S by Jim Ramsey

Functional Data Analysis

Fstat.fd function

Ramsay, James O., and Silverman, Bernard W. (2006), <em>Functional
    Data Analysis, 2nd ed.</em>, Springer, New York.

Fstat.fd: F-statistic for functional linear regression.

Description

Usage

Arguments

Value

source

Details

See Also