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aovlmer.fnc

Compute p-values for factors in mixed models


Description

This function no longer works with recent versions of lme4. For p-values, see the anova() function in the lmerTest package.

Usage

aovlmer.fnc(object,  ...)

Arguments

object

An lmer or glmer model for a response variable fitted with lmer.

...

Other optional arguments.

Value

A warning message.

Author(s)

R. H. Baayen, D. Bates

See Also

See anova in lmerTest.

Examples

## Not run: 
  library(optimx)
  library(lme4)
  data(latinsquare)
  l.lmer = lmer(RT~SOA+(1|Word)+(1|Subject), data=latinsquare,
    control=lmerControl(optimizer="optimx",optCtrl=list(method="nlminb")))
  library(lmerTest)
  summary(l.lmer)
  anova(l.lmer)
  
## End(Not run)

languageR

Analyzing Linguistic Data: A Practical Introduction to Statistics

v1.5.0
GPL (>= 2)
Authors
R. H. Baayen <harald.baayen@uni-tuebingen.de>, Elnaz Shafaei-Bajestan <elnaz.shafaei-bajestan@uni-tuebingen.de>
Initial release
2019-01-28

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