similar to: fix() and edit() not working with Rcmdr and german LANG-variable

I am using R 1.9.1 with R Commander GUI under Windows at work, and under Linux Mandrake 10 OR at home. I am having no problems running R Commander under windows. Under Linux, though, the opening and sometimes closing of windows from R Commander produces identical and repetitive error messages (in dialogue boxes and mirrored in the console): >"Warning: X11 protocol error: BadWindow

Hi, I have huge matrices in which the response variable is in the first column and the regressors are in the other columns. What I wanted to do now is something like this: #this is just to get an example-matrix DataMatrix <- rep(1,1000); Disturbance <- rnorm(900); DataMatrix[101:1000] <- DataMatrix[101:1000]+Disturbance; DataMatrix <- matrix(DataMatrix,ncol=10,nrow=100); #estimate

In datamatrix[, "y"] == datamatrix[, "y"][-1] : longer object length is not a multiple of shorter object length out = c(FALSE,datamatrix[,'y'] == datamatrix[,'y'][-1]) and I do not know why I get that error, the resulting out matrix is somehow one row larger than datamatrix... all I try to do is filter matrix by dropping rows where [,'y'][-1] ==

Hi, I need to permute the rows of a matrix, where each row is independently rearranged. A simple solution is this: shuffled <- datamatrix <- matrix(1:24, ncol = 4) for (i in 1:nrow(datamatrix)) { shuffled[i, ] <- sample(datamatrix[i, ]) } > datamatrix [,1] [,2] [,3] [,4] [1,] 1 7 13 19 [2,] 2 8 14 20 [3,] 3 9 15 21 [4,] 4 10 16 22 [5,]

Hi. I have been looking at the PCAproj function in package pcaPP (R 2.4.1) for robust principal components, and I'm trying to interpret the results. I started with a data matrix of dimensions RxC (R is the number of rows / observations, C the number of columns / variables). PCAproj returns a list of class princomp, similar to the output of the function princomp. In a case where I can

Hi, I am having trouble debugging this one. The code is attached below, but it seems to be a problem at the C-tk interface. If I run this 1 time there are no problems if I run it more than once I start to get warnings that increase in multiples of 11 everytime I run it. Here is a sample session > source("clrramp2.r") Loading required package: tcltk Loading Tcl/Tk interface ... done

Hello R users, I'm wondering whether it is possible to manage big data set in R? I have a data set with 3 million rows and 3 columns (X,Y,Z), where X is the group id. For each X, I need to run 2 regression on the submatrix. I used the function "split": datamatrix<-read.csv("datas.csv", header=F, sep=",") dim(datamatrix) # [1] 2980523 3

Hi All, I have a 1000x1000000 matrix. The calculation I would like to do is actually very simple: for each row, calculate the frequency of a given pattern. For example, a toy dataset is as follows. Col1 Col2 Col3 Col4 01 02 02 00 => Freq of ?02? is 0.5 02 02 02 01 => Freq of ?02? is 0.75 00 02 01 01 ? My code is quite simple as the following to find the pattern ?02?.

Hi list, I'm performing a series of confirmatory factor analysis on different groupings of items from data collected with questionnaires. There are some missing values. For those sets with no missing values I call factanal(datamatrix,factors=n) where datamatrix is a table of all observations for the items under investigation. This call fails when there are missing values. help(factanal)

Hi all, I am wandering.. is it possible to cluster data which is in a single column ? for example.. I have some data as follows: 4013 7362 7585 9304 11879 14785 21795 30500 30669 30924 33988 36975 40422 42911 50501 51593 53729 54338 55497 57337 61993 62601 66229 69815 69933 70760 71340 75921 83972 90134 91061 . . . is it possible to cluster this data since it is in a single column ? I have

Dear All: I tried to use heatmap.2 to generate hierarchical clustering using the following command: heatmap.2(datamatrix, scale="row", trace="none", col=greenred(256), labRow=genelist[,1], margins=c(10,10), Rowv=TRUE, Colv=TRUE) datamatrix is subset of a RMA normalized data subset by a genelist. The problem is a lot of times, the z-score in key are from, like -5 to 15 or

Hi, Here in R, I need to load a huge file(.csv) , its size is 200MB. [may come more than 1GB sometimes]. When i tried to load into a variable it taking too much of time and after that when i do cbind by groups, getting an error like this " Error: cannot allocate vector of size 82.4 Mb " My requirement is, spilt data from Huge-size-file(.csv) to no. of small csv files. Here i will give

i tried running a couple apps in wine remotely, piping X to my powerbook w/ OS 10.4.6 which otherwise works fine. thus i think this is wine- or app-specific. i get similar errors (see below) in different apps. on the surface, looks like bad window or pointer. i figure wine can't find the right libs for display on the client... do i just need a PATH to my the libs on my client? e.g.

Has anybody else experienced weird X11 forwarding problems such as the one below: andreas at teste10:~> x3270 X Error of failed request: BadWindow (invalid Window parameter) Major opcode of failed request: 3 (X_GetWindowAttributes) Resource id in failed request: 0x404372 Serial number of failed request: 833 Current serial number in output stream: 834 or andreas at teste10:~>

Hi here i have a code to split a csv file as per group of line. The code given below, ------------------------------------ SplitCSVByLine <- function(DataMatrix,Destination,NoOfLineToGroup) { input <- file(DataMatrix, "r") fileNo <- 1 repeat { myLines <- readLines(input, n=NoOfLineToGroup) if (length(myLines) == 0) break

Hello R users, I'm trying to replace numerical values in a datamatrix with strings. R does this except for numbers under 10000 starting with a 9 (eg 98, 970, 9504 etc). This is really weird and I wondered whether someone had encountered such a problem or knows the solution. I'm using the next script: test_1 <- read.table("5+ref_151111clusters3.csv", header = TRUE, sep =

Dear All: I am running some GUI functions in linux environment, they runs fine, however I constantly get this kind of message in R console: Warning: X11 protocol error: BadWindow (invalid Window parameter) Is there a way to repress it? Or am I doing something wrong here.. it does not interfere with the running of fucntion though. Thanks Hao

I was unsure of what suitable goodness-of-fit tests existed in R for logistic regression. After searching the R-help archive I found that using the Design models and resid, could be used to calculate this as follows: d <- datadist(mydataframe) options(datadist = 'd') fit <- lrm(response ~ predictor1 + predictor2..., data=mydataframe, x =T, y=T) resid(fit, 'gof'). I set up a

Hi, I got a new laptop and have been updating all my tools. All the wine apps I need working are running fine except Street Atlas 8.0 which I got running fine on my old laptop. I am failing with the latest wine-cvs from Oct 9th with the following: X Error of failed request: BadWindow (invalid Window parameter) Major opcode of failed request: 4 (X_DestroyWindow) Resource id in failed

Running wine 0.9.28, Ubuntu Edgy. nvidia 6800GT, dual-LCD w/ xinerama, nv-glx driver. Running winecfg always returns: wine: creating configuration directory '/home/myusername/.wine'... X Error of failed request: BadWindow (invalid Window parameter) Major opcode of failed request: 144 (NV-GLX) Minor opcode of failed request: 4 () Resource id in failed request: 0x24a Serial