Displaying 3 results from an estimated 3 matches for "probenos".
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probeno
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
2006 Jun 30
1
lme and SAS Proc mixed
...AS 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 procedure that the
variance-covariance structure is to be compound symmetric. Therefore,
the variance-covariance matrix is a block diagonal matrix of the form,
V_1 0 0
0 V_2 0
0 0 V3
where each V_i represents a...
2006 Jun 30
0
SAS Proc Mixed and lme
...AS 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 procedure that the
variance-covariance structure is to be compound symmetric. Therefore,
the variance-covariance matrix is a block diagonal matrix of the form,
V_1 0 0
0 V_2 0
0 0 V3
where each V_i represents a...