Displaying 4 results from an estimated 4 matches for "typesngl".
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2007 Jul 30
1
Extract random part of summary nlme
...0 23.0107762 4.005182e-110
vrmid 50% 0.07606394 0.09389376 61 0.8101064 4.210281e-01
vrtop 25% 0.24561327 0.10483374 61 2.3428838 2.241317e-02
intakemid 50% -0.41469716 0.03177240 3990 -13.0521199 3.698344e-38
intaketop 25% -0.75920783 0.05357980 3990 -14.1696648 1.666780e-44
typeSngl 0.15680532 0.07173835 61 2.1857949 3.267903e-02
All looks fine to me. The output above is simply a section from the
full summary shown below. Now, I want to extract from the summary (or
the full model) the part stating the random parameters. More
specifically, I want to extract...
2007 Jul 31
1
Extracting random parameters from summary lme and lmer
...0 23.0107762 4.005182e-110
vrmid 50% 0.07606394 0.09389376 61 0.8101064 4.210281e-01
vrtop 25% 0.24561327 0.10483374 61 2.3428838 2.241317e-02
intakemid 50% -0.41469716 0.03177240 3990 -13.0521199 3.698344e-38
intaketop 25% -0.75920783 0.05357980 3990 -14.1696648 1.666780e-44
typeSngl 0.15680532 0.07173835 61 2.1857949 3.267903e-02
All looks fine to me. The output above is simply a section from the
full summary shown below. Now, I want to extract from the summary (or
the full model) the part stating the random parameters. More
specifically, I want to extract...
2007 Jul 30
0
Extracting random parameters from summary lme
...0 23.0107762 4.005182e-110
vrmid 50% 0.07606394 0.09389376 61 0.8101064 4.210281e-01
vrtop 25% 0.24561327 0.10483374 61 2.3428838 2.241317e-02
intakemid 50% -0.41469716 0.03177240 3990 -13.0521199 3.698344e-38
intaketop 25% -0.75920783 0.05357980 3990 -14.1696648 1.666780e-44
typeSngl 0.15680532 0.07173835 61 2.1857949 3.267903e-02
All looks fine to me. The output above is simply a section from the
full summary shown below. Now, I want to extract from the summary (or
the full model) the part stating the random parameters. More
specifically, I want to extract...
2005 Jul 12
2
testing for significance in random-effect factors using lmer
Hi, I would like to know whether it is possible to obtain a value of
significance for random effects when aplying the lme or related
functions. The default output in R is just a variance and standard
deviation measurement.
I feel it would be possible to obtain the significance of these random
effects by comparing models with and without these effects. However,
I'm not used to perform