Rosnow

Contrived data set of an hypothetical study about the efficacy of a new training method for improving the performance of baseball players. 2x2 factorial design with two factors: training method and expertise of the player.

datasets

Analysis of terms in linear, generalized and mixed linear models,
on the basis of multiple comparisons of factor contrasts.  Specially suited
for the analysis of interaction terms.

Helios De Rosario

phia

Post-Hoc Interaction Analysis

Helios De Rosario-Martinez

John Fox

R Core Team 

Rosnow function

A data frame with 36 observations and three columns:<dl>
<dt><code>method</code></dt>
<dd>Training method. Factor with levels <code>control</code> and <code>Ralphing</code>.</dd><dt><code>experience</code></dt>
<dd>Experience of the player in championship competition. Factor with levels <code>no</code>, <code>yes</code>.</dd><dt><code>hits</code></dt>
<dd>Performance scores, measured as total number of hits in an experimentally devised game.</dd>
</dl>

Format

Rosnow's and Rosenthal's Baseball Performance Data — Rosnow

A data frame with 36 observations and three columns:<dl>
<dt><code>method</code></dt>
<dd>Training method. Factor with levels <code>control</code> and <code>Ralphing</code>.</dd>

<dt><code>experience</code></dt>
<dd>Experience of the player in championship competition. Factor with levels <code>no</code>, <code>yes</code>.</dd>

<dt><code>hits</code></dt>
<dd>Performance scores, measured as total number of hits in an experimentally devised game.</dd>


</dl>

Rosnow: Rosnow's and Rosenthal's Baseball Performance Data

Description

Usage

Arguments

Format