(no subject)
(please keep r-sig-mixed-models in the Cc:) I'm pretty sure that lmer and lm models are commensurate, in case that helps. Here's an example rigged to make the random-effects variance equal to zero, so we can check that the log-likelihoods etc. are identical. set.seed(101) dd <- data.frame(y=rnorm(20),x=rnorm(20),f=factor(rep(1:2,10))) library(lme4) m1 <- lmer(y~x+(1|f),data=dd,REML=FALSE) ## estimated sigma^2_f=0 m2 <- lm(y~x,data=dd) all.equal(c(logLik(m1)),c(logLik(m2))) ## TRUE all.equal(fixef(m1),coef(m2)) anova(m1,m2)
On 2018-08-01 11:41 PM, Peter Paprzycki wrote:
Thank you. Oh, was just trying to compare my random-effects model to the one where my grouping variable (schools) is treated as fixed. Peter <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> Virus-free. www.avg.com <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> On Wed, Aug 1, 2018 at 10:32 PM, Ben Bolker <bbolker at gmail.com <mailto:bbolker at gmail.com>> wrote: ? I'm not 100% sure I understand the question, but I think the answer is "no": lmer cannot fit a model that doesn't contain any random effects. Perhaps you can give more context as to why it won't work for you to revert to lm() or plm() in these cases? On 2018-08-01 11:30 PM, Peter Paprzycki wrote:
> This is very basic, is there a way to specify in lmer function
that I would
> like to run my grouping variable as a fixed factor only, without
reverting
> to lm or plm functions. If one does not specify a random variable,
one gets
> the error message with lmer function; something that is equivalent
to the
> statement, "index = "grouping variable", model = "within"" with
the plm
> function.
>
>
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-- Peter Paprzycki, Ph.D. Visiting Assistant Professor Research Support Center Manager Educational Research and Administration College of Education?and Psychology The University of Southern Mississippi USM Box 5093; 118 College Drive Hattiesburg, Mississippi 39406-0001 tel. (601)-266-4708 email: Peter.Paprzycki at usm.edu <mailto:Peter.Paprzycki at usm.edu> Sidere mens eadum mutato