makeDefaultMatrix.fnc

Creates a model matrix with main effects only

 regression

Data sets exemplifying statistical methods, and some
facilitatory utility functions used in ``Analyzing Linguistic
Data: A practical introduction to statistics using R'',
Cambridge University Press, 2008.

R. Baayen

languageR

Data Sets and Functions with Analyzing Linguistic Data: A
Practical Introduction to Statistics

Elnaz Shafaei-Bajestan

makeDefaultMatrix.fnc function

<dl> <dt>model</dt>
<dd>A model fit with <code>lmer</code></dd> <dt>n</dt>
<dd>integer specifying number of points to be plotted on X-axis</dd> <dt>conditioningPred</dt>
<dd>name of predictor entering into interaction</dd> <dt>conditioningValue</dt>
<dd>vector of values (numeric or factor level names) to be shown for interaction</dd> <dt>control</dt>
<dd>a two-element list (predictor, value) specifying an additional
 predictor to be fixed to the given value in a partial effect plot. May be 
 useful for hand-made plots for three-way interactions.</dd></dl>

Arguments

Author

Create model matrix with main effects only — makeDefaultMatrix.fnc

<dl>

 <dt>model</dt>
<dd>A model fit with <code>lmer</code></dd>

 <dt>n</dt>
<dd>integer specifying number of points to be plotted on X-axis</dd>

 <dt>conditioningPred</dt>
<dd>name of predictor entering into interaction</dd>

 <dt>conditioningValue</dt>
<dd>vector of values (numeric or factor level names) to be shown for interaction</dd>

 <dt>control</dt>
<dd>a two-element list (predictor, value) specifying an additional
 predictor to be fixed to the given value in a partial effect plot. May be 
 useful for hand-made plots for three-way interactions.</dd>

</dl>

makeDefaultMatrix.fnc: Create model matrix with main effects only

Description

Usage

Value

Arguments

Author

Details

See Also