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Problem: I have a data frame with 1s and 0s denoting presence/absence of species (columns) for particular plot measurements (rows). What I want to do is make a new column whose entries for each row is a list of the column names in which a species is present (ie. for row one its entry might read: "sp1","sp2", etc.). I've tried various functions etc. but can't seem to

Dear R-list, Seems simple but have tried multiple approaches, no luck. I have a list of column names:

Dear R gurus, Trying to loop a graphing function and output a jpeg file each loop. It works fine for a single run (ie. not looping) but when I loop the output is nothing but white space. Here is my code, somewhat abridged: { <rest of loop> jpeg(filename=<"name for this loop.jpeg">) xyplot(AbvBioAnnProd~Year|factor(Plot), type = c("b", "r"), pch =

1. I have a list of lm (linear model) objects. Is it possible to select, through subscripts, a particular element (say, the intercept) from all the models? I've tried something like this: List[[1:length(list)]][1] All members of the list are similar. My goal is to have a list of the intercepts and lists of other estimated parameters. Is it better to convert to a matrix? How to do this? 2.

...app/samba-2.2.8a/packaging/HPUX Clearly, something fundamental is wrong (with the first step?) which is bound to cause great embarrassment for me. Can you please help? Yours sincerely Leon Allen Database Administrator Caboolture Shire Council * 0438 400 891 * 07 54200 116 * 07 54200 188 * allenl@caboolture.qld.gov.au * PO Box 159 CABOOLTURE, Q. 4510 <P><FONT face=Arial size=2>********************************************************************************** IMPORTANT NOTICE REGARDING CONFIDENTIALITY This electronic mail message is intended only for the addre...

Dear R list, I've been attempting to interpret the results from a three-way ANOVA. I think I understand contrasts and the R defaults for these (treatment contrasts). My question is: what is the intercept in this test? As far as I can tell, its NOT the expected value of a point that belongs to the first level of all three explanatory factors (because there is only one point that satisfies these

NB: Not reply needed (Ben was extremely helpful!) I've just started using R last week and am still scratching my head. I have a data set and want to run a separate regression across each level of a factor (treating each one separately). The data right now is arranged such that the value of the factor along which I want to "split" my data is one column among many. Best way to do