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I am a relatively new user of R, and have a question on ANOVA I have a sumamrised data set of the form (data dummy only) Cell Treatment Total Resp 1 1 25000 682 1 0 35000 600 2 1 5000 40 2 0 4000 30 3 1 36000 2400 3 0 400 250 and wish to perform ANOVA. Because its sumamrised I need to tell R to treat the data as if I had all the individual rows. Otherwise, I only end up with 1 or

In my research area, researchers are very stingy about sharing data. In fact, they are frequently downright secretive about these morsels. Typically, we get fed a diet of summary statistics and the assurance that the data are *normal* without any necessary documentation that they really are. With that as background and assuming that the data really are normal, is there any way in R (or any

I'd like to do a simple one-way ANOVA comparing the means of 6 groups. But it seems like the only way to do an ANOVA in R is to specify some sort of model, where there is an outcome or dependent variable that is a function of independent variables (linear model). But I don't have a linear model, I just want to do a simple ANOVA (and f-test) to compare the means. How do I do