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I remember reading about post hoc statistical power on R-help. But I can't seem to find them with RSiteSearch("post hoc statistical power") and variations of it. I would like to learn more about post hoc statistical power, its meaningfulness, advantages and disadvantages. I thought the issue was settled after Tukey's 1993 paper about post hoc statistical power being

Hello everybody I have done a generalized linear model (glm-function) with a binary response variable (presence/absence) and two explanatory variables (including the interaction term (model<-glm(x~factor1*factor2, family=quasibinomial)). The interaction is what we are mainly interested in and it is non-significant (F=0, p=1.0). A reviewer on the manuscript now asks for a a priori

Hi All, I've been having a little trouble with creating a loop that will run a a series of t.tests for inspection, Below is the code i've tried, and some checks i've looked at. I've used the get(paste()) idea as i was told previously that the use of the eval should try and be avoided. I've run a single syntax to check that my systax is correct and works without any problems

...Plotting by Group Message-ID: <4CB6832E.1090407 at netspace.net.au> Content-Type: text/plain; charset=ISO-8859-1; format=flowed Hi all, My apologies if this is a very simple problem. I am very new to R, having worked a lot previously with Excel. I recently completed a R course with John Hoenig which introduced me to R. My data: X Y Species Group 0 0 A 1 . . A 1 . . A 1 . . A 1...