quasif {languageR} | R Documentation |
Simulated data set with subjects and items requiring quasi-F ratios
Description
Simulated lexical decision latencies with SOA as treatment, traditionally requiring an analysis using quasi-F ratios, as available in Raaijmakers et al. (1999).
Usage
data(quasif)
Format
A data frame with 64 observations on the following 4 variables.
Subject
a factor coding subjects.
RT
a numeric vector for simulated reaction times in lexical decision.
Item
a factor coding items.
SOA
a factor coding SOA treatment with levels
long
andshort
.
Source
Raaijmakers, J.G.W., Schrijnemakers, J.M.C. & Gremmen, F. (1999) How to deal with "The language as fixed effect fallacy": common misconceptions and alternative solutions, Journal of Memory and Language, 41, 416-426.
Examples
## Not run:
data(quasif)
items.quasif.fnc(quasif)
## End(Not run)
[Package languageR version 1.5.0 Index]