similar to: Help with 'memory not mapped'

Hello R-Users! Does anyone know of a package to draw/analyze silicon wafer maps? Here are some examples http://www.java2s.com/Code/Java/Chart/JFreeChartWaferMapChartDemo.htm http://dp.pdf.com/site/products/wafermap/binmap.html I've google'd and searched CRAN with no luck. It seems possible for R, given the hexbin and hist2d graphs I saw at the Graph gallery.

I'm sorry, but I've been looking in the archives, and I can't find an answer to this question. I believe OpenSSH supports AFS, but I can't seem to make it work. I've tried to install krb5-devel, but it doesn't work. I've made configure --with-kerberos4 --with-afs, and it says it can't find krb.h. Did anyone manage to compile openssh 2.3.0 with AFS? Which kerberos

I can't resolve this bug, but I can finally use lenny 64 to full capacity in xen, which doesn't help the bug. I acquired xen-3.3.3 months ago, but couldn't manage to work my way through the missing header files to install xen-tools. After all this time, I revisited it and installed xen-3.3.3, quite a leap from 3.2.1. Not too surprisingly, the deficit has disappeared, and the vnc

Dear alltogether, I tried pan() to impute NAs for longitudinal data. The terminology in the following output follows the pan manpage. No data are attached to this script as this may be too huge. y = 15 responses pred = at first just intercept was tried (later on covariates should follow) subj = 168 different subjects with 4 to 6 observations for each subject at time points t1, t2, ..., t6 #

Hi all I recently started to write a matrix exponentiation operator for R (by adding a new operator definition to names.c, and adding the following code to arrays.c). It is not finished yet, but I would like to solicit some comments, as there are a few areas of R's internals that I am still feeling my way around. Firstly: 1) Would there be interest in adding a new operator %^% that performs

Hello guys, I am a total newbie on R, having downloaded it, read the documentation and started playing with it right now. My general question is what 'lr' model can be used for doing a linear regression on points that have a variance associated with them (ie. Monte Carlo simulation results). Actually my Data sets look like: Timestep Energy Variance_of_the_Energy 0.0005 -14.876840

My parallel code is running slower than my non-parallel code! Can someone pls advise what am I doing wrong here? t and tTA are simple matrices of equal dimensions. #NON PARALLEL CODE nCols=ncol(t) nRows=nrow(t) tTA = matrix(nrow=nRows,ncol=nCols) require(TTR) system.time( for (i in 1:nCols) { x = t[,i] xROC = ROC(x) tTA[,i]=xROC } ) user system elapsed 123.24 0.07 123.47 #

I try to do single proportion test on my category data. Here is my R script: library("ctest") catSignifTest <- function( catFile ) { ############################################################### ## Get the data sets from text file catData <- read.table( catFile ) ncols <- length(catData) nrows <- length(catData[,1]) ncol1 <- ncols - 1 probeNbr

Hi everyone. I'm using matrix product such as : #Generate some data NCols = 5 NRows = 5 A = matrix(runif(NCols*NRows), ncol=NCols) B = matrix(runif(NCols*NRows), ncol=NCols) #First calculation R = A%*%B for(i in 1:100) { R = R%*%B } I would like to know if it was possible to avoid the loop by using something like mapply or anything else. Tx in advance, Phil -- View this message

Dear R Gurus, As you probably know, dist calculates the distance between every two rows of data. What I am interested in is the actual two rows that have the least distance between them, rather than the numerical value of the distance itself. For example, If the minimum distance in the following sample run is d[14], which is .3826119, and the rows are 4 & 6. I need to find a generic way to

Dear R Gurus, I would very much appreciate some help with this code snippit from my RODBC package. R crashes or exhibits bizarre behaviour when repeatedly fetching large numbers of rows. Examples: > odbcFetchRows(0,max=50000)->xx > odbcFetchRows(0,max=50000)->xx > odbcFetchRows(0,max=50000)->xx > odbcFetchRows(0,max=50000)->xx > odbcFetchRows(0,max=50000)->xx 3rd

Reporting a possible inconsistency or bug in handling stringsAsFactors in as.data.frame.table() Here is a simple test > options()$stringsAsFactors [1] TRUE > x<-c("a","b","c","a","b") > d<-as.data.frame(table(x)) > d x Freq 1 a 2 2 b 2 3 c 1 > class(d$x) [1] "factor" >

Hello, I am experiencing a very noticeable memory leak when using large lists of large data. The code below creates a list of matrices, yet the memory does not free up after removing that item and performing a garbage collection. Is there a something I can do to prevent this memory leak? Any help would be greatly appreciated. By the way, if you execute the code, please run it in a new R session.

Dear I am using the 'as.dendrogram' function from the 'stats' library to convert from an hclust object to a dendrogram with a dataset of size ~30000 (an example code is below). I need the dendrogram structure to use the "dendrapply" and "attributes" functions and to access the child nodes, I do not need any of the plot properties. The problem is that it

I am pretty new to R. So this may be an easy question for most of you. ? I would like to calculate the squared distances of a large set (let's say 20000) of vectors (let's say dimension of 5) to a fixed vector. ? Say I have a data frame MY_VECTORS with 20000 rows and 5 columns, and one 5x1 vector y. I would like to efficiently calculate the squared distances?between each of the 20000

Hello, Could someone please tell if there is a way to append header info to the top of an exported dataframe (exported with write.table). I want to append the following, which are the defininitions for an asciigrid: ncols 532 nrows 999 xllcorner 510465 yllcorner 4766375 cellsize 30 NODATA_value -9999 Thanks very much, femke [[alternative HTML version deleted]]

Hi, first off, I wanna ask how do I declare a data.frame of 0 rows and n columns? Coming to my problem, I have a data.frame of 22 columns by dynamic rows which I insert using rbind. The total number of rows could go upto 2,00,000. The problem is that after about 800 or 900 get inserted rbind starts overwriting the data.frame and I end up with a total of 800-900 rows. What is up with that? The

I've written a g.test() aka log-likelihood ratio test function for my opwn use. It's something I've seen requested (and looked to find myself) on this list a few times. It has the same basic syntax as chisq.test(). It does both goodness of fit tests and tests of independence. Yates' and Williams' corrections are implemented. I've put some examples from Sokal & Rohlf

Is it possible to write the output/results (redirect) to a latex file? Jeff. Jeff D. Hamann Hamann, Donald & Associates, Inc. PO Box 1421 Corvallis, Oregon USA 97339-1421 Bus. 541-753-7333 Cell. 541-740-5988 jeff_hamann at hamanndonald.com www.hamanndonald.com -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi All- I would like to create a 3d topographic map using lat/lon and z(height). I have been scouring the R help pages and have not located the package I am looking for. Does anyone have a suggestion of package that will work for this? thanks- sherri