similar to: additional parameters in function called by tapply

List: I'm helping a colleague with some Poisson regression modeling. He uses SAS proc GENMOD and I'm using glm() in R. Note on the SAS and R output below that our estimates, standard errors, and deviances are identical but what we get for likelihoods differs considerably. I'm assuming that these must differ just by some constant but it would be nice to have some confirmation

Hello R-folks, I don't get the color of the legend in a lattice-plot right. I select a palette from RColorBrewer and use (with a col = mypalette argument) it in the barchart plot. The resulting graph shows the new palette in the graph, but uses the standard palette in the legend rectangles. Adding a col argument into auto.key uses the new palette with the legend text, but not in the

I'm new to the R language and still struggling with compactness of R. I haven't got the right compass into the Documentation, too. So, please apologize the possibly stupidiy of my question. I have the following problem: I have two data sets combined in a data.frame x y 1.3 2.2 2.5 3.4 3.1 3.7 8.2 9.5 7.5 8.3 For the analyses of the data I want to group one column (like the classes in a

Hello R-folks, I don't get the color of the legend in a lattice-plot right. I select a palette from RColorBrewer and use it in the barchart plot. The resulting graph shows the new palette in the graph, but in the legend rectangles the standard palette is used. Adding a col argument into auto.key uses the new palette with the legend text, but not in the rectangle fill. What am I missing?

Dear list-members, I am trying to use R to conduct a meta-analysis, i.e. I'd like to use a multi-level model to integrate the findings of a number of primary research studies. I set up a simple two level-model (only summary statistics are provided by each study) as follows: sapp.lme <- lme(D ~ 1, data = sapp.frame, random = ~ 1 | STUDYNR, weights=varFixed(~-1+STDERR_D),na.action =