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capella
2008 Sep 29
1
Testing this significance of a factor in a mixed-model "ANCOVA"
...gbmkg is the log of
body mass.
If I ask for a summary of my model, I get this from the table of
fixed effects:
Fixed effects: lghumlen ~ species + lgbmkg
Value Std.Error DF t-value p-value
(Intercept) 3.567226 0.02059541 540 173.20495 0.000
speciesCebus apella -0.096348 0.04523323 16 -2.13004 0.049
lgbmkg 0.532745 0.01804411 540 29.52459 0.000
So the difference between species looks to be barely significant. I
get the same result using the fit.contrast function from the gtools
package:
fit.contrast(model,"species",co...
2008 Oct 15
0
R-help Digest, Vol 67, Issue 31
...gbmkg is the log of
body mass.
If I ask for a summary of my model, I get this from the table of
fixed effects:
Fixed effects: lghumlen ~ species + lgbmkg
Value Std.Error DF t-value p-value
(Intercept) 3.567226 0.02059541 540 173.20495 0.000
speciesCebus apella -0.096348 0.04523323 16 -2.13004 0.049
lgbmkg 0.532745 0.01804411 540 29.52459 0.000
So the difference between species looks to be barely significant. I
get the same result using the fit.contrast function from the gtools
package:
fit.contrast(model,"species",co...