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Thanks a lot to Demitris for a prompt answer some minutes ago on another tread (see below). To avoid excess mails on the list, I move onto next question: I have another small plotting problem that confuses me. I want to plot results from a field trial series, using the numbers of the trials as symbols in the plot. pch = as.character(trial_no) works fine, but truncates the trial number to the

...d fungus that differ. Does anyone have any idea why this happens and how I can get around it (I'm mainly interested in the interaction term...)? Grateful for any help /?sa __________________________________________________________________ ?sa Granberg, Doktorand / Phd-student Evolution?r ekologi Ekologi, milj? och geovetenskap Ume? Universitet 901 87 Ume? Evolutionary ecology Department of Ecology and Environmental Science Ume? University 901 87 Ume?, Sweden Phone: +46 (0)90 786 7461 Fax: +46 (0)90 786 6705 e-mail:asa.granberg at emg.umu.se

Hello all, R2.1.1, Wk2 I am doing some two-step plotting, first using plot() to illustrate the datapoints and then using abline() to place a trend line from a fitted model into the plot. Everything works well as long as the formula of the fitted model i of the type: m1 <- lm(Dependent ~ Independent) then abline(m1) puts the proper straight line into the plot. But if I use: m2 <-

Hello all, R2.2.1, W2k I posted a similar question last week after having problem with a group update (using update.packages()), without getting any answer. Now I have updated all packages separately, and found that the problem comes from nlme: Everything comes home, the md5 checksums are ok, but then the old version can??t be removed from my computer, leaving a "nlme" library with

Hello all! Consider a dataset with a grouping structure, Group (factor) Several treatments, Treat (factor) Some sort of yield, Yield (numeric) Something, possibly important, measured for each group; GroupCov (numeric) To look for fixed effects from Treat on Yield, a first attempt could be: m1 <- lm(Yield ~ Treat) which gives, in a symmetric situation, the same estimated fixed effects as: