search for: counfounding

...). I extract the results of the anova with: summary(aov(effect ~ Group*Time + Error=Subj/Time, data=mydata)) Now, this must be clearly a dumb question, but how can I quickly extract in R all the post-hoc t-tests for the simple main effects? Also, while I am at it, how do I enter in the model a counfounding covariate (e.g., Age)? And on a different matter, is there a way to receive interactive user input in an R script? Something like "Enter the name of the factor: ", or even more simply "Press <Enter> to see the result of the next analysis".... thanks in advance for...

...). I extract the results of the anova with: summary(aov(effect ~ Group*Time + Error=Subj/Time, data=mydata)) Now, this must be clearly a dumb question, but how can I quickly extract in R all the post-hoc t-tests for the simple main effects? Also, while I am at it, how do I enter in the model a counfounding covariate (e.g., Age)? And on a different matter, is there a way to receive interactive user input in an R script? Something like "Enter the name of the factor: ", or even more simply "Press <Enter> to see the result of the next analysis".... thanks in advance for...

Dear List, I am (again) looking at meta-regression as a way to refine meta-analytic results. What I want to do is to assess the impact of some fixed factors on the results of a meta-analysis. Some of them may be crossed with the main factor of the meta-analysis (e. g. clinical presentation of a disease, defining subgroups in each of the studies under analysis), some of them may be a grouping