means_and_counts

Get the means and counts for each categorical term in the model

internal

Produces ANOVA tables in the format used by Judd, McClelland,
and Ryan (2017, ISBN: 978-1138819832) in their introductory textbook,
Data Analysis. This includes proportional reduction in error and
formatting to improve ease the transition between the book and R.

Adam Blake

supernova

Judd, McClelland, & Ryan Formatting for ANOVA Output

Jeff Chrabaszcz

Ji Son

Jim Stigler

means_and_counts function

<dl><dt>fit</dt>
<dd>A model fit by <code><a href="/link/lm()?package=supernova&version=3.0.0" data-mini-rdoc="supernova::lm()">lm()</a></code> or <code><a href="/link/aov()?package=supernova&version=3.0.0" data-mini-rdoc="supernova::aov()">aov()</a></code> (or similar).</dd>
<dt>term</dt>
<dd>If <code>NULL</code>, use each categorical term in the model. Otherwise, only use the given
term.</dd></dl>

Arguments

Get the means and counts for each categorical term in the model — means_and_counts

<dl>

<dt>fit</dt>
<dd>A model fit by <code><a href='https://rdrr.io/r/stats/lm.html'>lm()</a></code> or <code><a href='https://rdrr.io/r/stats/aov.html'>aov()</a></code> (or similar).</dd>


<dt>term</dt>
<dd>If <code>NULL</code>, use each categorical term in the model. Otherwise, only use the given
term.</dd>

</dl>

means_and_counts: Get the means and counts for each categorical term in the model

Description

Usage

Value

Arguments