>>>
>>> ##And here are the Monte-Carlo simulations
>>>
>>> library(lme4)
>>>
>>> bootstraps=200
>>> estim=matrix(0,nrow=bootstraps,ncol=2)
>>>
>>> for(i in 1:bootstraps){
>>> id=rep(1:100,each=2)
>>>
on: Tal Galili [mailto:tal.gal...@gmail.com]
Gesendet: Friday, July 24, 2009 7:07 PM
An: Robert A LaBudde
Cc: Daniel Malter; r-help@r-project.org
Betreff: Re: [R] How to test frequency independence (in a 2 by 2 table)
withmany missing values
Hello dear Robert and Daniel,
I read your replies with much
> estim[i,]=...@fixef
>> }
>>
>> mean(estim[,1])
>> #mean estimate of the intercept from 200 MC-simulations
>> #should be close to zero (no intercept in the linear.predictor)
>>
>> mean(estim[,2])
>> #mean estimate of the 'test' fixed effect fr
on: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Im
Auftrag von Tal Galili
Gesendet: Friday, July 24, 2009 1:23 PM
An: r-help@r-project.org
Betreff: [R] How to test frequency independence (in a 2 by 2 table) withmany
missing values
Hello dear R help group.
My question is statist
ailto:r-help-boun...@r-project.org] Im
Auftrag von Tal Galili
Gesendet: Friday, July 24, 2009 1:23 PM
An: r-help@r-project.org
Betreff: [R] How to test frequency independence (in a 2 by 2 table) withmany
missing values
Hello dear R help group.
My question is statistical and not R specific, yet I hope
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