On Jul 27, 2011 gaiarrido wrote: > I've been reading these days about what you tell me, but i don't > understand properly. > How could I know, with this tests, which variables are significant?...
Mario, You need to get in touch with a statistician at your university. You are fitting quite a complex analysis of covariance-type of model. This means (i.e. analysis of covariance) that the influence of edadysexo (your categorical variable) on your response variable is being assessed _after_ adjusting for or taking account of the influence of lcc. Did you try ## library(car) Anova(modo) as I advised you to? All I can say for the moment is that you have a significant interaction between edadysexo and mes (I don't know what mes is). Therefore, in general you can't talk about main effects for either. It is also clear that lcc will not be significant when the Type II analysis of variance test that I advised you to do is carried out. ----- Mark Difford (Ph.D.) Research Associate Botany Department Nelson Mandela Metropolitan University Port Elizabeth, South Africa -- View this message in context: http://r.789695.n4.nabble.com/GLM-different-results-with-the-same-factors-tp3690471p3700799.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org 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.
