graph_twoway_assumptions

Internal function that plots modeled cell means and standard deviations and covariance matrices.
Takes input generated by the <code>calculate_mean_matrix</code> function and runs inside of it.

The basic use of this package is with 3 sequential functions. One to generate expected cell means and standard deviations, along with correlation and covariance matrices in the case of repeated measurements. This is followed by experiment simulation i number of times. Finally, power is calculated from the simulated data. Features that may be considered in the model are interaction, measure correlation and non-normal distributions.

Louis Macias

extraSuperpower

Power Calculation for Two-Way Factorial Designs

Silke Szymczak

graph_twoway_assumptions function

<dl><dt>group_size</dt>
<dd>integer - number of subjects in each group</dd>
<dt>matrices_obj</dt>
<dd>List length 2 - Cell means and standard deviation matrices</dd></dl>

Arguments

Graph modeled means and standard deviations of groups in two-way factorial design — graph_twoway_assumptions

<dl>

<dt>group_size</dt>
<dd>integer - number of subjects in each group</dd>


<dt>matrices_obj</dt>
<dd>List length 2 - Cell means and standard deviation matrices</dd>

</dl>

graph_twoway_assumptions: Graph modeled means and standard deviations of groups in two-way factorial design

Description

Usage

Value

Arguments