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 -- View this message in context: http://www.nabble.com/A-simple-question-about-summary.glm-tf4167757.html#a11857514 Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.