similar to: colMeans in a data.frame with numeric and character data

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, 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

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]]

Dear R Users, Are there any documents on the usage of apply, tapply, sapply so that I avoid explicit loops. I found that these three functions were quite hard to be understood. Thank you in advance. -- Jin

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:

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

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

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

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

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

Hi, I have some simple statistics to calculate for a large number of variables. I created a simple function to apply to variables. I would like the variable name to be placed automatically. I tried the following function but is not working. desc = function(x){ media = mean(x, na.rm=T) desvio = sd(x, na.rm=T) cv = desvio/media*100

Dear All, I was trying to follow some of the examples in Venables and Ripley "Modern applied ... with S-plus" I have downloaded a copy of the iris data set and loaded into R. : however I cannot use the apply command (from p47): > apply (iris, 2 ,mean) Error in sum(..., na.rm = na.rm) : invalid "mode" of argument > apply (iris, c(2) ,mean) Error in sum(..., na.rm =

On Fri, 27 Jan 2023 at 20:42, Diogo Ivo <diogo.ivo at tecnico.ulisboa.pt> wrote: > > On Fri, Jan 27, 2023 at 04:00:59PM +1000, Ben Skeggs wrote: > > On Fri, 20 Jan 2023 at 21:37, Diogo Ivo <diogo.ivo at tecnico.ulisboa.pt> wrote: > > > > > > On Wed, Jan 18, 2023 at 11:28:49AM +1000, Ben Skeggs wrote: > > > > On Mon, 16 Jan 2023 at 22:27, Diogo

Having searched and searched I still haven't found what's the problem with my data (I've attached the relevant file). Every time I tried to use the CANCOR-Function I got error messages. So I turned to check my two sets of variables separately by using the "colMeans"-Function. With one set no problem .. but with the other. My input : > struktur <-

I have a fair bit of experience with S-Plus and have been asked to port some of my S-Plus bootstrapping functions to R, to which I am relatively new, Needless to say, I've run into some problems. In particular, I need to perform bootstrap resampling of the colMeans function using a moving blocks bootstrap, where the blocks are row indices. It's easy to build a function that allows me

Hi all, I am new at puppet and Im using the puppet learning tutorial. I execute until Basic agent/master puppet. Everything worked ok but after 2 or 3 days, running the command "puppet agent --test", start throw the error in subject. That left me with the following questions: how to puppet agent connect to master without service started on master? If this connection is possible (

I read from external data source containing several columns. Each column represents value of a metric. The columns are time series data. I want to sort the resulting dataframe such that the column with the largest mean is the leftmost column, descending in colMean values to the right. I see many solutions for sorting rows based on some column characteristic, but haven't found any

Hello, I use the function rowMeans(x,na.rm=T). The result is the mean of valid values in each row, with NA removed. A for me very important information is, from how many valid "n" this mean has computed. The thing is, that I apply this function on many millions of rows, so the time it takes is multiplied by this factor! (so getting this with "rowSums(is.na(x))" it takes

[text file is also attached in case you find the format of email difficult to understand] Dear useRs,You must all the planning for the christmas, but i am stucked in my office on the following issue i had a file containg information about station name, year, month, day, and discharge information. i opened it by using following command > dat1<-read.table("EL.csv",header=TRUE,