df.terms

df.terms.default

Find degrees of freedom for model terms

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). It also provides other tools for analysis and graphical display of the models
such as robust methods and homogeneity of variance covariance matrices.
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

df.terms function

<dl><dt>model</dt>
<dd>A model object, such as fit using <code><a href="/link/stats%3A%3Alm()?package=heplots&version=1.8.5" data-mini-rdoc="heplots::stats::lm()">stats::lm()</a></code>.</dd>
<dt>term</dt>
<dd>One or more terms from the model</dd>
<dt>...</dt>
<dd>Other arguments, ignored</dd></dl>

Arguments

Find degrees of freedom for model terms — df.terms

<dl>

<dt>model</dt>
<dd>A model object, such as fit using <code><a href='https://rdrr.io/r/stats/lm.html'>stats::lm()</a></code>.</dd>


<dt>term</dt>
<dd>One or more terms from the model</dd>


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

</dl>

df.terms: Find degrees of freedom for model terms

Description

Usage

Arguments