as.data.frame.inflmlm

This function is used internally in the package to convert the result of <code>mlm.influence()</code> to a data frame.
It is not normally called by the user.

Computes regression deletion diagnostics for multivariate linear models and provides some associated
diagnostic plots.  The diagnostic measures include hat-values (leverages), generalized Cook's distance, and
generalized squared 'studentized' residuals.  Several types of plots to detect influential observations are
provided.

Michael Friendly

mvinfluence

Influence Measures and Diagnostic Plots for Multivariate Linear
Models

as.data.frame.inflmlm function

<dl><dt>x</dt>
<dd>An <code>inflmlm</code> object, as returned by <code>mlm.influence</code></dd>
<dt>...</dt>
<dd>ignored</dd>
<dt>FUN</dt>
<dd>in the case where the subset size, <code>m&gt;1</code>, the function used on the <code>H, Q, L, R</code> to calculate
a single statistic. The default is <code>det</code>. An alternative is <code>tr</code>, for matrix trace.</dd>
<dt>funnames</dt>
<dd>logical. Should the <code>FUN</code> name be prepended to the statistics when creating a data frame?</dd></dl>

Arguments

Convert an inflmlm object to a data frame — as.data.frame.inflmlm

<dl>

<dt>x</dt>
<dd>An <code>inflmlm</code> object, as returned by <code>mlm.influence</code></dd>


<dt>...</dt>
<dd>ignored</dd>


<dt>FUN</dt>
<dd>in the case where the subset size, <code>m&gt;1</code>, the function used on the <code>H, Q, L, R</code> to calculate
a single statistic. The default is <code>det</code>. An alternative is <code>tr</code>, for matrix trace.</dd>


<dt>funnames</dt>
<dd>logical. Should the <code>FUN</code> name be prepended to the statistics when creating a data frame?</dd>

</dl>

as.data.frame.inflmlm: Convert an inflmlm object to a data frame

Description

Usage

Value

Arguments

Examples