[R-sig-ME] (no subject)

[Peter Paprzycki]

Sorry, you estimated it to be very close to zero, I see.
Peter

On Wed, Aug 1, 2018 at 11:08 PM, Peter Paprzycki <peter.paprzycki using gmail.com>
wrote:

> Perfect. Thank you. It is good to know that we can specify the
> random-effects variance
> equal to zero. Thanks.
> Peter
>
>
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> On Wed, Aug 1, 2018 at 10:57 PM, Ben Bolker <bbolker using gmail.com> wrote:
>
>>
>>   (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
>> >
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>> >
>> > On Wed, Aug 1, 2018 at 10:32 PM, Ben Bolker <bbolker using gmail.com
>> > <mailto:bbolker using 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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>> >     >
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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 using usm.edu <mailto:Peter.Paprzycki using usm.edu>
>> >
>> >
>> > Sidere mens eadum mutato
>> >
>>
>
>
>
> --
>
> 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 using usm.edu
>
>
> Sidere mens eadum mutato
>



-- 

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 using usm.edu


Sidere mens eadum mutato

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