similar to: median value dataframe coming from multiple dataframes

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 would like to know if it is posible by, someway, to get colMeans from a data.frame with numeric as well as character data, dispersed all over the object. Note that I would like to get colMeans neglecting character data. I am really in need of some function proceeding in that way… All the best Diogo André Alagador [[alternative HTML version deleted]]

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:

Dear all, I have 3 matrices with the same dimension, A,B,C and I would like to produce a matrix D where in each position would retrieve the max(or min) value along A,B,C taken from the same position. I guess that apply functions should fit, but for matrices objects I am not getting it. thanks in advance, Diogo André Alagador [[alternative HTML version deleted]]

Thanks a lot for all of you that have reply me about opening and ending R workspaces in BATCH mode. However replies were a king general and I?m afraid I could not take the entire message from them. Therefore I chose to expose here a representative fraction of my work. I have 50 Rdata files (F1,F2,F3,F4, ,F50) with objects inside. I need to: open F1: - perform some simple operations

Dear all, I have a matrix with positive and negative values. >From this I would like to produce 2 matrices: 1st - retaining positives and putting NA in other positions 2nd - retaining negatives and putting NA in other positions and then apply rowMeans for both. I am trying to use the function ifelse in the exemplified form: ifelse(A>0,A,NA) but by putting A as a 2nd parameter it

To all, I am undergoing an analysis involving big matrices of about 30000x200 which I have to handle in a more efficient way. So I would like some advice to build such efficient function to deliver the following result: - starting with 2 matrices of the same dimension (eg. A and B) 0 0 3 5 6 0 0 5 A= 0 0 6 4 B= 0 4 3 5

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

No es lo que busco..La idea es crear una variable nueva, por ejemplo "Nueva", que sea la media de "Wordcount" agregada por "Product.Id". Pero quiero que esta variable se a?ada a mi base de datos fusionandose directamente por "Product.Id". Al hacerlo me da este error: Reviews.211216$Adjetives.Product<- aggregate(adj.x ~ Product.Id,

Hi all, I have a matrix of about 100.000?x 4?that I need?to classify using euclidean metric. For that I am using dist?or daisy functions, but I am afraid that the message: Error in vector("double", length) : vector size specified is too large, means too much lines. Can anyone suggest me how should I analyse this matrix? Thanks in advance, Diogo Andr? Alagador MNCN,CSIC, Madrid, Spain

I already searched for information regarding the batch file operations within R. But I could not locate the information I need. Basically I have a doubt regarding the procedures on the batch use of several script files (*.R). How can I do this? How can I define the order of files? My intention is to programme openings, math operations and savings of *.Rdata sessions, but in a sequential

Dear, I am using the solnp command (package Rsolnp) for a problem with equality and inequality constraints. I am not getting convergence for my problem but apart that I get 1 warning per iteration saying: ?In cbind(temp, funv) : number of rows of result is not a multiple of vector length (arg 1)?. I checked for equality and inequality functions and they seem fine to me. Where this

Dear all, I am tryng to solve a nonlinear optimization probel using the solnp function. I have different datasets. For the smaller I get full solutions, for the bigger I got an error message stating: ######################################## Iter: 1 fn: 101.8017 Pars: 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000

Dear all, I am tryng to solve a nonlinear optimization probel using the solnp function. I have different datasets. For the smaller I get full solutions, for the bigger I got an error message stating: ######################################## Iter: 1 fn: 101.8017 Pars: 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000 0.21000