| splitplot {languageR} | R Documentation |
Simulated lexical decision latencies with priming as treatment and reaction time in lexical decision as dependent variable.
data(splitplot)
A data frame with 800 observations on the following 11 variables.
itemsw1, w2,
..., w40, coding 40 word items.ritemslistlistA and listB.
The priming effect is counterbalanced for subjects across these
two lists, compare table(splitplot$list, splitplot$subjects).rlistprimingprimed and
unprimed.fprimingsubjectss1, s2,
... s20 coding 20 subjects.rsubjecterrorintRTR. H. Baayen, D. J. Davidson and D. M. Bates. Mixed-effects modeling with crossed random effects for subjects and items. Manuscript under revision for Journal of Memory and Language.
## Not run: data(splitplot) table(splitplot$list, splitplot$subjects) library(lme4) dat.lmer1 = lmer2(RT ~ list*priming+(1+priming|subjects)+(1+list|items),data=dat) dat.lmer2 = lmer2(RT ~ list*priming+(1+priming|subjects)+(1|items),data=dat) dat.lmer3 = lmer2(RT ~ list*priming+(1|subjects)+(1|items),data=dat) dat.lmer4 = lmer2(RT ~ list*priming+(1|subjects),data=dat) anova(dat.lmer1, dat.lmer2, dat.lmer3, dat.lmer4) print(dat.lmer3, corr=FALSE) ## End(Not run)