[R] A simple question about summary.glm
michal33
michal_sa at hotmail.com
Mon Jul 30 05:05:27 CEST 2007
Hello,
I am new to R and have tried to search similar questions but could not find
exactly what I am looking for, but I apologize if the question was already
asked.
I have 10 different treatments and want to know whether they affect the sex
ratios of insect emergence. After running the glms I got this table:
Df Deviance Resid. Df Resid. Dev F Pr(>F)
NULL 133 9250.3
sex 1 481.5 132 8768.9 7.7212 0.006314 **
trt 9 1099.1 123 7669.7 1.9585 0.049780 *
But now I would like to know WHICH of the treatments was significant. I
tried to use Tukey test but for some reason it does not work.
My question is:
I used the following function:
>summary(file.name, corr=F)
and got the following table:
Deviance Residuals:
Min 1Q Median 3Q Max
-14.118 -4.808 -1.466 2.033 33.882
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 8.696e+00 1.893e+00 4.594 1.06e-05 ***
sexm -3.791e+00 1.364e+00 -2.779 0.00631 **
trtccc -1.050e+00 4.325e+00 -0.243 0.80859
trtcga3 2.450e+00 4.325e+00 0.566 0.57211
trtcga4 -2.300e+00 4.325e+00 -0.532 0.59584
trtg 1.550e+00 2.497e+00 0.621 0.53593
trtga4 -5.550e+00 4.325e+00 -1.283 0.20183
trtp 5.422e+00 2.566e+00 2.113 0.03658 *
trtpg -1.850e+00 2.497e+00 -0.741 0.46019
trtw -3.634e-17 2.497e+00 -1.46e-17 1.00000
trtwg -3.750e+00 2.497e+00 -1.502 0.13573
What do the stars mean? Is it the same as Tukey test that tells me which
treatment is different from which? i.e. is trtp (with *) significantly
different to the control (which, by the way do not appear in this list and I
do not know why)?
Thanks
Michal
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