simulateLatinsquare.fnc

This function creates a user-specified number of simulated 
 datasets with a Latin Square design, and compares mixed-effects 
	models with the by-subject anova.

 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

simulateLatinsquare.fnc function

<dl> <dt>dat</dt>
<dd>A data frame with the structure of the data set <code>latinsquare</code>.</dd> <dt>with</dt>
<dd>Logical, if TRUE, effect of SOA built into the data.</dd> <dt>trial</dt>
<dd>A number which, if nonzero, gives the magnitude of a
 learning or a fatigue effect.</dd> <dt>nruns</dt>
<dd>A number indicating the required number of simulation runs.</dd> <dt>nsub</dt>
<dd>A number for the number of subjects.</dd> <dt>nitem</dt>
<dd>A number for the number of items.</dd>	<dt>...</dt>
<dd>other parameters to be passed through to plotting functions.</dd></dl>

Arguments

Author

Simulate simple Latin Square data and compare models — simulateLatinsquare.fnc

<dl>

 <dt>dat</dt>
<dd>A data frame with the structure of the data set <code>latinsquare</code>.</dd>

 <dt>with</dt>
<dd>Logical, if TRUE, effect of SOA built into the data.</dd>

 <dt>trial</dt>
<dd>A number which, if nonzero, gives the magnitude of a
 learning or a fatigue effect.</dd>

 <dt>nruns</dt>
<dd>A number indicating the required number of simulation runs.</dd>

 <dt>nsub</dt>
<dd>A number for the number of subjects.</dd>

 <dt>nitem</dt>
<dd>A number for the number of items.</dd>

	<dt>...</dt>
<dd>other parameters to be passed through to plotting functions.</dd>

</dl>

simulateLatinsquare.fnc: Simulate simple Latin Square data and compare models

Description

Usage

Value

Arguments

Author