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Hi, if given the value of, say, 15000, I would like to be able to divide that value recursively by, say, 5, and to get a vector of a determined length, say 9, the last value being (set to) zero- i.e. like this: 15000 3000 600 120 24 4.8 0.96 0.192 0 These are in fact concentration values from an experiment. For my script, I get only the starting value (here 15000), and the factor by which

Dear helpers, I've got a main script, which calls 4 times a function on 4 different datasets respectively. This function runs "nls" and is located in another R script which is sourced into my main script. What I would like to have is this: If, e.g. in the 3rd call of the function, nls fails, because it can't converge, I would like it to return an error (value or message), and

Dear R-help, I am using Sweave and pdflatex to generate a large report from data contained in my database (Postgres via RODBC). Currently, I work with a single R/Sweave file, containing several "chapter" indications for the Latex engine. My master tex file sets the document class, and includes the introduction, the main Sweave file, and a conclusions and reference file. I use a makefile

Dear helpers, I'm using a R script on several different datasets, which makes that axis scales may vary quite a lot from dataset to dataset. So what I'm looking for now, is how to automagically find out how to position the legend (horizontal) in the space below the x-axis title, and how to make sure that the legend is within the limits of the lower inner or outer margin? I'm aware of

Dear mailing list, I'm stuck with a tricky problem here - at least it seems tricky to me, being not really talented in pattern matching and regex matters. I'm analysing amino acid mutations by position and type of mutation. E.g. (fictitious example) in position 92, I can find L92V, L92MV, L92I... L is in this example the wild-type amino-acid, and everything behind the position number is

Dear mailing list, I'm still quite a newbie in the statistical analysis of genotype/allele data, resp. more generally in the analysis of categorical variables. Moreover, I'm currently totally confused by the many R packages available to do such analysis. Here is my case: I've got a list of genes, and a number of case-control population pairs, and for each population and gene, the

Hello to all who have helped me on this topic, first I need to apologize for apparently replying only now... In fact I use the "Pan" Newsreader to read the list, and I posted a reply to the thread a week after your suggestions through Pan, and I only now realised that the posting never arrived on the list although Pan gave me no error message at all! So, let me try again using the good