similar to: colMeans()

[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,

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]]

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

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

There are indeed speed advantages in using colSums etc. However the disadvantage is that the newbie doesn't always find the power inherent in the apply, sapply, tapply and mapply. For many things that I do, the speed is the least of my worries; although I take the point that using apply for means or sums in packages that are distibuted to others is not the way to go. As many of us have found

I've learned that I can make a tag with vorbisgain that tells the player at what volume a track is to be played to achieve a certain level of loudness. Is it possible that there will be a tag that tells the player for instance to add more bass when it plays a track? Ore more treble? With such tags it would be possible to customize the sound of a track according to my wishes - without

I'm using R 1.3.1 on a Windows NT 4.0 machine. As you might guess my machine crashes on me from time to time :-| So far, forcing a reboot via the Taskmanager has worked reasonably well: any open R session would enquire politely whether to save, and do so if requested. This time, it has not worked out. I get a 'Fatal Error: unable to restore saved data in .RData' message and R

Hi, I am using the EBImage package for image display and analysis and want to read the cursor (mouse) position on the image. The function "locator()" would be ideal, but this appears to work only on plots, not images. > a <- Image((0:(w^2))/w^2, c(w,w)) > if ( interactive() ) display(a) > locator(n = 10, type = "p") Error in locator(n = 10, type = "p")

Hello! I've got troubles on following thing: As output I need a string like: INPUT_FILENAMES = H:\\AKK_temp\\Modis\\MOD13Q1\\austria\\MOD09Q1.A2008073.h18v04.005.2008083134952.hdf|H:\\AKK_temp\\Modis\\MOD13Q1\\austria\\MOD09Q1.A2008073.h19v04.005.2008082182221.hdf The filenames (dates) are with pathname (wrkdr) and separated with "|". The number of input filenames changes

Dear List, please find here an interesting job opportunity at the UNODC (SASS) in Vienna. If you are interested contact directly Ms. Irmgard Zeiler (Irmgard.ZEILER at unodc.org). good luck Matteo Mattiuzzi >>> Irmgard ZEILER <Irmgard.ZEILER at unodc.org> 02/03/14 5:02 PM >>> Dear all, I would like to kindly ask your assistance in my search for a consultant (short

Hi all, I have a dataframe with survey data. Now I want to calculate means from several but not all columns (e.g. a1, a2, a3) and save them in a new separate column (e.g. a). Like: a = mean(a1, a2, a3) Can someone help me or give me the right key word to look for? Thanks [[alternative HTML version deleted]]

Hello , I can not get apply function to do what I want when doing stuff on rows. Let's say I want to divide the rows of matrix by their mean, the below show you get the same result weather you use 1 or 2, i.e. same result for columns than for means..:( Thanks a lot for the help, m = matrix( c(1,4,7,4,5,8,7,8,9), nrow = 3 ) divideByMean = function( v ){ return(

I have an array with 44800 columns and 24 rows I would like to compute the row average for the array 100 columns at a time, so I would like to end up with an array of 24 rows x 448 columns. I have tried using apply(dataset, 1, function(x) mean(x[])), but I am not sure how to get it to take the average 100 columns at a time. Any ideas would be welcomed. thanks, Spencer [[alternative HTML

Dear list, I have problems loading the grid library; running > library(grid) results in Error in .Call("L_initGrid"): Call function name not in load table Error in library(grid): .First.lib failed PC: Windows NT 4.0 SP6 on a Ghz-Pentium machine with 256 MB memory R: version 1.4.0 patched (23/01/02) grid: 0.5-1, built 26/01/02 I haven't found this on CRAN; any ideas would be

In a newly downloaded version (today) of R-2-4-0alpha, with all packages from CRAN also installed today, I get: > library(Matrix) Erro en loadNamespace(package, c(which.lib.loc, lib.loc), keep.source = keep.source) : in 'Matrix' methods specified for export, but none defined: BIC, anova, coef, confint, deviance, fitted, fixef, formula, head, lmer, logLik, mcmcsamp, plot,

Hi everyone, I have dataset which I make a sample of it couple of times and each time I get the mean and standard deviation of each row for each sample. I have a function for that, which takes the name of the file and number of times to sample and then returns the mean and standard deviation for each row in each sample. Sample=function(name, n){

Hi All, I am illustrating a simple, two-way ANOVA using the following data and I'm having difficulty in expressing the predicted values succinctly in R. X<- data.frame(read.table(textConnection(" Machine.1 Machine.2 Machine.3 53 61 51 47 55 51 46 52 49 50

Suppose I have the following: x1<-as.vector(rnorm(10)) x2<-as.vector(rnorm(10)) x3<-as.vector(rnorm(10)) x4<-as.vector(rnorm(10)) x5<-as.vector(rnorm(10)) x6<-as.vector(rnorm(10)) x7<-as.vector(rnorm(10)) x8<-as.vector(rnorm(10)) x9<-as.vector(rnorm(10)) x10<-as.vector(rnorm(10)) I would like the mean of x1 to x6 for each vector position. I would do something else

Hi, I have a matrix: mymat <- matrix(runif(10*4), ncol=4) I wish to subtract the column means, down the colums, subtract the row means from the rows and add back the grand mean - all the means should be the means of mymat rather than of the new matrix. How can I do this? Any help much appreciated. Thanks Tom _________________________________________________________________