John Sorkin wrote:
R 2.3
Windows XP
I am trying to understand lme. My aim is to run a random effects regression
in which the intercept and jweek are random effects. I am comparing output
from SAS PROC MIXED with output from R. The point estimates and the SEs are
the same, however the DFs
Peter Dalgaard wrote:
John Sorkin wrote:
R 2.3
Windows XP
I am trying to understand lme. My aim is to run a random effects regression
in which the intercept and jweek are random effects. I am comparing output
from SAS PROC MIXED with output from R. The point estimates and the SEs are
Of Peter Dalgaard
Sent: Tuesday, June 05, 2007 4:44 AM
To: John Sorkin
Cc: r-help@stat.math.ethz.ch
Subject: Re: [R] lme vs. SAS proc mixed. Point estimates and
SEs are the same, DFs are different
John Sorkin wrote:
R 2.3
Windows XP
I am trying to understand lme. My aim is to run
R 2.3
Windows XP
I am trying to understand lme. My aim is to run a random effects regression in
which the intercept and jweek are random effects. I am comparing output from
SAS PROC MIXED with output from R. The point estimates and the SEs are the
same, however the DFs and the p values are
Your example is entirely too complicated for me to parse in the time
available, but I have a few questions that I hope might help:
First, have you examined str(fit.lme) plus all the other help pages
listed under See Also in the lme help page, especially lmeObject?
With
I am trying to use lme to fit a mixed effects model to get the same
results as when using the following SAS code:
proc mixed;
class refseqid probeid probeno end;
model expression=end logpgc / ddfm=satterth;
random probeno probeid / subject=refseqid type=cs;
lsmeans end / diff cl; run;
There are
