quasiF.fnc {languageR} | R Documentation |
Quasi-F test
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
[Package languageR version 1.5.0 Index]