Description Usage Format Source Examples

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

1 |

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.

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*.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ```
## 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.

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