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Hi all, I am not a skillful R programmer and has I am handling with large dataframes (about 30000 x 300) I am in need of an efficient function. I have 4 dataframes with the same dimension. I need to generate other dataframe with the some dimension than the others where in each position it has the median value of the 4 values in the same position coming from the 4 dataframes. Grateful by your

Hi all, Basically I have 2 data frames with equal dimension and I want to apply the wilcox.test to compare columns in the same position (i.e. 1st of df.A with 1st of df.B, 2nd of df.A with 2nd of df.B,...). Anyone give me an hint on this, as I think it is nicer to avoid loops, specially for huge dataframes (30000 x 200) Thanks in advance, Diogo André Alagador Portugal [[alternative HTML

Hi all, I'm handling massive data.frames and matrices in R (30000 x 400). In the 1st column, say, I have 0s and 1s indicating rows that matter; other columns have probability values. One simple task I would like to do would be to get the column mean values for signaled rows (the ones with 1) As a very fresh "programmer" I have build a simple function in R which should not be very

Hy all, I apologize for my ingenuity in regard to interfaces in R, but I do need it for my work. In that respect I took a simple and small example from the net (the "hello world", one) to interface R with C. I have a Windows XP OS using R.2.5.0 and in that regard I have installed the Perl and RTools files to my PC. I also wrote a proper path file, as suggested. The C program is: