aovlmer.fnc: Compute p-values for factors in mixed models
In languageR: Analyzing Linguistic Data: A Practical Introduction to Statistics

Description Usage Arguments Value Author(s) See Also Examples

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

1	aovlmer.fnc(object, ...)

`object`	An lmer or glmer model for a response variable fitted with `lmer`.
`...`	Other optional arguments.

A warning message.

R. H. Baayen, D. Bates

See anova in lmerTest.

  ## 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)