languageR (version 1.0)

latinsquare: Simulated Latin Square data set with subjects and items

Description

Simulated lexical decision latencies with SOA as treatment, using a Latin Square design with subjects and items, as available in Raaijmakers et al. (1999).

Usage

data(latinsquare)

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

data(latinsquare)
library(lme4)
latinsquare.with = 
   simulateLatinsquare.fnc(latinsquare, nruns = 1000, with = TRUE) 
latinsquare.without = 
   simulateLatinsquare.fnc(latinsquare, nruns = 1000, with = FALSE)
latinsquare.with$alpha05
latinsquare.without$alpha05