splitplot: Simulated data set with split plot design

Description Usage Format Source Examples

Description

Simulated lexical decision latencies with priming as treatment and reaction time in lexical decision as dependent variable.

Usage

1

Format

A data frame with 800 observations on the following 11 variables.

items

A factor with levels w1, w2, ..., w40, coding 40 word items.

ritems

The by-word random adjustments to the intercept.

list

A factor with levels listA and listB. The priming effect is counterbalanced for subjects across these two lists, compare table(splitplot$list, splitplot$subjects).

rlist

The by-list random adjustments to the intercept.

priming

A treatment factor with levels primed and unprimed.

fpriming

The priming effect, -30 for the primed and 0 for the unprimed condition.

subjects

A factor with levels s1, s2, ... s20 coding 20 subjects.

rsubject

The by-subject random adjustments to the intercept.

error

The by-observation noise.

int

The intercept.

RT

The reaction time.

Source

R. 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.

Examples

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## Not run: 
data(splitplot)
table(splitplot$list, splitplot$subjects)
dat=splitplot
require(lme4)
require(optimx)
require(lmerTest)
dat.lmer1 = lmer(RT ~ list*priming+(1+priming|subjects)+(1+list|items),data=dat,
  control=lmerControl(optimizer="optimx",optCtrl=list(method="nlminb")))
dat.lmer2 = lmer(RT ~ list*priming+(1+priming|subjects)+(1|items),data=dat,
  control=lmerControl(optimizer="optimx",optCtrl=list(method="nlminb")))
dat.lmer3 = lmer(RT ~ list*priming+(1|subjects)+(1|items),data=dat,
  control=lmerControl(optimizer="optimx",optCtrl=list(method="nlminb")))
dat.lmer4 = lmer(RT ~ list*priming+(1|subjects),data=dat,
  control=lmerControl(optimizer="optimx",optCtrl=list(method="nlminb")))
anova(dat.lmer1, dat.lmer2, dat.lmer3, dat.lmer4)
summary(dat.lmer3)

## End(Not run)

languageR documentation built on May 30, 2017, 3:09 a.m.