uniStats

Univariate Test Statistics for a Multivariate Linear Model

Provides HE plot and other functions for visualizing hypothesis
tests in multivariate linear models. HE plots represent sums-of-squares-and-products
matrices for linear hypotheses and for error using ellipses (in two
dimensions) and ellipsoids (in three dimensions). The related 'candisc' package
provides visualizations in a reduced-rank canonical discriminant space when
there are more than a few response variables.

Michael Friendly

heplots

Visualizing Hypothesis Tests in Multivariate Linear Models

John Fox

Georges Monette

Phil Chalmers

Duncan Murdoch

uniStats function

<dl><dt>x</dt>
<dd>A <code>"mlm"</code> object fitted by <code>link[stats]{lm}</code> with two or more response variable3s</dd>
<dt>...</dt>
<dd>Other arguments, ignored</dd></dl>

Arguments

Univariate Test Statistics for a Multivariate Linear Model — uniStats

<dl>

<dt>x</dt>
<dd>A <code>"mlm"</code> object fitted by <code>link[stats]{lm}</code> with two or more response variable3s</dd>


<dt>...</dt>
<dd>Other arguments, ignored</dd>

</dl>

uniStats: Univariate Test Statistics for a Multivariate Linear Model

Description

Usage

Value

Arguments

See Also

Examples