quasiF.fnc {languageR}R Documentation

Quasi-F test

Description

The textbook Quasi-F test for a split-plot design with subjects, items, and a single factorial predictor. Included for educational purposes for this specific design only.

Usage

quasiF.fnc(ms1, ms2, ms3, ms4, df1, df2, df3, df4)

Arguments

ms1 Mean squares Factor
ms2 Mean squares Item:Subject
ms3 Mean squares Factor:Subject
ms4 Mean squares Item
df1 Degrees of freedom Factor
df2 Degrees of freedom Item:Subject
df3 Degrees of freedom Factor:Subject
df4 Degrees of freedom Item

Value

A list with components

F Quasi-F value.
df1 degrees of freedom numerator.
df2 degrees of freedom denominator.
p p-value.

Author(s)

R. H. Baayen

See Also

~~objects to See Also as quasiF.split.plot.fnc.

Examples

  data(splitplot)

  splitplot.lm = lm(RT ~ SOA + Item + Subject + 
     SOA:Subject + Item:Subject, data = splitplot)
  splitplot.aov = anova(splitplot.lm)

  quasiF.fnc(splitplot.aov["SOA","Mean Sq"], 
     splitplot.aov["Item:Subject", "Mean Sq"],
     splitplot.aov["SOA:Subject", "Mean Sq"], 
     splitplot.aov["Item", "Mean Sq"],
     splitplot.aov["SOA","Df"], 
     splitplot.aov["Item:Subject", "Df"],
     splitplot.aov["SOA:Subject", "Df"], 
     splitplot.aov["Item", "Df"])

  # much simpler is
  quasiF.split.plot.fnc(splitplot)$quasiF


[Package languageR version 0.1 Index]