titative Health Sciences
Cleveland Clinic | 9500 Euclid Ave. | Cleveland, OH 44195 | (216)
445-1365
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Ben Bolker
Sent: Wednesday, March 27, 2013 10:34 PM
To: David Winsemius
Cc:
On 13-03-27 10:10 PM, David Winsemius wrote:
>
> On Mar 27, 2013, at 7:00 PM, Ben Bolker wrote:
>
>> Michael Grant colorado.edu> writes:
>>> Dear Help:
>>
>>> I am trying to follow Professor Bates' recommendation, quoted by
>>> Professor Crawley in The R Book, p629, to determine whether I should
i did find this for you, down towards the end, they discuss the anova method.
i am on my way to a bayesian analysis/lmer is a step towards that- so i won't
be doing anova. i can't be of much specific help with that question, but here
you go.
https://stat.ethz.ch/pipermail/r-sig-mixed-models/20
i meant to add, i am not sure if an "example" lmer model woulf be helpful,
since i can't see the OP.
On Mar 27, 2013, at 10:13 PM, Nicole Ford wrote:
> i literally just ran one.
>
> when i ran one of mine and the did summary(mod) i get the following:
>
>> mod <- lmer(dem ~ xbar + cpi + (1 | c
i literally just ran one.
when i ran one of mine and the did summary(mod) i get the following:
> mod <- lmer(dem ~ xbar + cpi + (1 | country), data=wvsAB)
> summary(mod)
Linear mixed model fit by REML
Formula: dem ~ xbar + cpi + (1 | country)
Data: wvsAB
AIC BIC logLik deviance REMLdev
On Mar 27, 2013, at 7:00 PM, Ben Bolker wrote:
> Michael Grant colorado.edu> writes:
>
>>
>>
>> Dear Help:
>
>> I am trying to follow Professor Bates' recommendation, quoted by
>> Professor Crawley in The R Book, p629, to determine whether I should
>> model data using the 'plain old' lm func
Michael Grant colorado.edu> writes:
>
>
> Dear Help:
> I am trying to follow Professor Bates' recommendation, quoted by
> Professor Crawley in The R Book, p629, to determine whether I should
> model data using the 'plain old' lm function or the mixed model
> function lmer by using the syntax
7 matches
Mail list logo