summary.cofad_wi

Summary of within subject design contrast analysis

Contrast analysis for factorial designs provides an
alternative to the traditional ANOVA approach, offering the distinct
advantage of testing targeted hypotheses. The foundation of this
package is primarily rooted in the works of Rosenthal, Rosnow, and
Rubin (2000, ISBN: 978-0521659802) as well as Sedlmeier and Renkewitz
(2018, ISBN: 978-3868943214).

Johannes Titz

cofad

Contrast Analyses for Factorial Designs

Markus Burkhardt

Mirka Henninger

Simone Malejka

summary.cofad_wi function

<dl><dt>object</dt>
<dd>output of calc_contrast</dd>
<dt>ci</dt>
<dd>confidence intervall for composite Score (L-Values)</dd>
<dt>...</dt>
<dd>further arguments</dd></dl>

Arguments

Summary of within subject design contrast analysis — summary.cofad_wi

<dl>

<dt>object</dt>
<dd>output of calc_contrast</dd>


<dt>ci</dt>
<dd>confidence intervall for composite Score (L-Values)</dd>


<dt>...</dt>
<dd>further arguments</dd>

</dl>

summary.cofad_wi: Summary of within subject design contrast analysis

Description

Usage

Value

Arguments