Displaying 3 results from an estimated 3 matches for "logpgc".
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2006 Jun 19
2
Nested variance-covariance matrix in Multilevel model
Dear R community,
I have trouble implementing a nested variance-covariance matrix in the
lme function.
The model has two fixed effects called End and logpgc, the response
variable is the logarithm to base 2 of Intensity ( log2(Intensity) )
and the random effects are called Probe and ProbeNo.
The model has the following nesting structure: A Pixel is nested within
the ProbeNo,the ProbeNo is within the ProbeEnd ( there are two ends for
every probe),...
2006 Jun 30
1
lme and SAS Proc mixed
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 3 genes (refseqid) which is the large grouping factor, with
2 probeids nested within each refseqid, and 16 probenos nested within
each of the probeids.
I have specified in the SAS Proc Mixed...
2006 Jun 30
0
SAS Proc Mixed and lme
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 3 genes (refseqid) which is the large grouping factor, with
2 probeids nested within each refseqid, and 16 probenos nested within
each of the probeids.
I have specified in the SAS Proc Mixed...