Fstat.fd

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 and 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
are available by ftp from
<https://www.psych.mcgill.ca/misc/fda/downloads/FDAfuns/>.

S by Jim Ramsey

Functional Data Analysis

James Ramsay

Giles Hooker

Spencer Graves

Fstat.fd function

<dl> <dt>y</dt>
<dd>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></dd> <dt>yhat</dt>
<dd>The predicted values corresponding to <code>y</code>. It must be of the same class.</dd> <dt>argvals</dt>
<dd>If <code>yfdPar</code> is a functional data object, the points at which to evaluate
 the pointwise F-statistic.</dd></dl>

Arguments

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

<dl>

 <dt>y</dt>
<dd>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></dd>

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

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

</dl>

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

Description

Usage

Value

Arguments

Details

See Also