quasiF.fnc: Quasi-F test

In languageR: Analyzing Linguistic Data: A Practical Introduction to Statistics

Description

The textbook Quasi-F test for a 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

See Also as quasiFsim.fnc.

Examples

  data(quasif)

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

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

  # much simpler is
  quasiFsim.fnc(quasif)$quasiF

languageR documentation built on May 2, 2019, 10:02 a.m.