similar to: split() bug? Inconsistent Windows/Linux behavior.

We are building a package, and want to create S4 methods for both head and mean for our own BigMatrix class. Following the recommendation in "Writing R Extensions" we use exportMethods instead of export in NAMESPACE (this is described as being "clearer"). This works for head, but not for mean. Obviously we importFrom(utils, head), but don't need to do this for mean,

Hi Jay Emerson, Our Intention is to primarily optimize "R" to utilize the Parallel Processing Capabilities of CELL BE Processor.(has any work been done in this area?) We have huge pages(of size 1MB 16MB ) available in the system and as you pointed out our data is also in the GB ranges.So the idea is if Vectors of this huge size are allocated from Huge Pages the performance will

Hello, I am trying to run a small example with foreach, but I am having some problems. Here is the code: *library(doMC) registerDoMC() zappa = list() frank = list() foreach (i = 1:4) %dopar% { zappa[[i]] = kmeans (iris[-5],4) frank[[i]] = warnings() }* The code runs without error. However the zappa and frank will be empty lists. If I use regular *for *instead, the list will be filled up

To answer your first question about read.big.matrix(), we don't know what your acc3.dat file is, but it doesn't appear to have been detected as a standard file (like a CSV file) or -- perhaps -- doesn't even exist (or doesn't exist in your current directory)? Next: > In addition, I am planning to do a multiple imputation with MICE package > using the data read by bigmemory

I was surprised to observe the following difference between 2.4.1 and 2.6.0 after a long overdue upgrade a few months ago of our departmental server. It wasn't a bug fix, but a subtle improvement. Here's the simplest example I could create. The size is excessive, on the order of the Netflix Competition data. The integer matrix is about 1.12 GB, and if coerced to numeric it is 2.24 GB.

Sorry, gmail seemed to have made an attachment out of my first attempted post. Trying again: ------------------------------ At the encouragement of many at UseR, I'm trying to build my first real package. I have no C/Fortran code, just plain old R code, so it should be rocket science. On a Linux box, I used package.skeleton() to create a basic package containing just one "hello

Hi, I have used the heckit function in micEcon. Now I would like to evaluate the fit of the probit part of the model but when I enter AIC(sk$probit) I get this error Error in logLik(object) : no applicable method for "logLik" How can I then get the AIC for this model? Side question: If you know - from the top of your head - some link to readings dealing with evaluating the

Hi, I'm playing around with the 'bigmemory' package, and I have finally managed to create some really big matrices. However, only now I realize that there may not be functions made for what I want to do with the matrices... I would like to perform a cluster analysis based on a big.matrix. Googling around I have found indications that a certain kmeans.big.matrix() function should

Hi -- I've found a need for an additional option to mosaicplot(), to suppress the labels. It's not difficult, obviously, a minor thing. Would you like me to submit my revised code (I'll use your code rather than my original source code which was adapted for S-Plus and R)? Or it might be a 5-minute change for the appropriate person. No problem either way, just let me know. Cheers,

I am using the library(bigmemory) to handle large datasets, say 1 GB, and facing following problems. Any hints from anybody can be helpful. _Problem-1: _ I am using "read.big.matrix" function to create a filebacked big matrix of my data and get the following warning: > x = read.big.matrix("/home/utkarsh.s/data.csv",header=T,type="double",shared=T,backingfile

Hello Everyone I want to plot Moasic Plots, I have tried them using iplots package (using imosaic). The problem is the names dont get alligned properly, is there a way to a align the names and provide legend in Mosaic plots using R? Also I would like to know any other packages using which I can plot Mosaic Plots Thank you in advance Sunita -- View this message in context:

I apologize in advance for probably missing something obvious, but if someone could point me in the right direction I'd be grateful. This NOTE is not unique to our package (I list a few others, below). Package bcp has several Suggests (strucchange, for example). Then in an Rd file, we have if (require(strucchange)) { # Doing some examples making use of strucchange } The CRAN check

Hello, I'll use part of the iris dataset for an example of what I want to do. > data(iris) > iris<-iris[1:10,1:4] > iris Sepal.Length Sepal.Width Petal.Length Petal.Width 1 5.1 3.5 1.4 0.2 2 4.9 3.0 1.4 0.2 3 4.7 3.2 1.3 0.2 4 4.6 3.1 1.5

Hi there! I have become a big fan of the 'foreach' package allowing me to do a lot of stuff in parallel. For example, evaluating the function f on all elements in a vector x is easily accomplished: foreach(i=1:length(x),.combine=c) %dopar% f(x[i]) Here the .combine=c option tells foreach to combine output using the c()-function. That is, to return it as a vector. Today I discovered the

Hi, I want to make a data frame which contains the positions of some searched values in another data frame. Like: Dataframe 1: 1 2 3 4 1 2 3 4 2 3 4 1 2 3 4 2 4 1 2 3 2 3 4 1 Let's say I searched on "4", then Dataframe 2 should contain: x y 1 4 1 8 2 3 2 7 3 1 3 7 I have written a routine, but it seems to me that it isn't that perfect: x<- 0

Hi, I am trying to run the bigmemory example provided on the http://www.bigmemory.org/ The example runs on the "airline data" and generates summary of the csv files:- library(bigmemory) library(biganalytics) x <- read.big.matrix("2005.csv", type="integer", header=TRUE, backingfile="airline.bin", descriptorfile="airline.desc",

Hi, Is it possible for me to read data from shared memory created by a vc++ program into R using bigmemory? [[alternative HTML version deleted]]

Hi all! This is an R workspace memory processing question. There is a method which from the R will control 10GB data at 500MB units? my work environment : R version : 2.11.1 OS : WinXP Pro sp3 Thanks and best regards. Park, Young-Ju from Korea. [1][rKWLzcpt.zNp8gmPEwGJCA00]

Dear All, I'm trying to do the estimation in a changepoint regression problem via R, but never found any suitable function which might help me to do this. Could someone give me a hand?on this matter? Thank you.

Hi, I want to parallelize some computations when it's possible on multicore machines. Each computation produces a big objects that I don't want to store if not necessary: in the end only the object that best fits my data have to be returned. In non-parallel mode, a single gloabl object is updated if the current computation gets a better result than the best previously found. My plan