similar to: ways of getting around allocMatrix limit?

On Sat, Feb 14, 2009 at 00:17, <ashrafi@ucdavis.edu> wrote: Hi, I was trying to read ~400 chips in an affybatch and I got the same message. Could you find a remedy for that. My server has 128 GB of RAM. However, R halted ever before it uses the memory. I have been able to load upto 250 CEL files but this time I wanted to test what would happen if I want to normalize 400 chips. Thanks

Dear R family, I faced a technical problem in r coding. #s=t(dev)%*%dev/(nr-1) # dev (100,000 by 2) stands for deviation from the mean #sinv=solve(s) #t2=diag(dev%*%sinv%*%t(dev)) I got an error message at t2 statement: Error in diag(dev %*% si %*% t(dev)) : allocMatrix: too many elements specified Please let me know if there is a way to overcome this problem. best moohwan

Hello, I have some C code (for a shared lib called via .External) that uses PROTECT(w= allocMatrix(REALSXP, m, n)); mostly successfully. In rare cases, though, the row count m will be an overestimate. Is there a way to reallocate the matrix in-place, something like reAllocMatrix (w,m-excess,n) /* where excess is > 0 */ to chop off the last excess rows of w? I only find out about the

Hi all, I'm working with a large data set (on the order of 300X300) and trying to apply a function which compares the elements of all possible 2x2 submatrices. There are rc(r-1)(c-1) such submatrices, so obviously the naive method of looping through the rows and columns is computationally unfeasible for my data set: for(i in 1:(nrow(data)-1)) { for(j in (i+1):nrow(data)) { for (m

Hi everybody, I'm looking for an optimal way to split a big matrix (e.g. ncol = 8, nrow=8) into small square submatrices (e.g. ncol=2, nrow=2) For example If I have > h [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [1,] 1 9 17 25 33 41 49 57 [2,] 2 10 18 26 34 42 50 58 [3,] 3 11 19 27 35 43 51 59 [4,] 4 12 20 28 36

Hi, I have a matrix of say 1024x1024 and I want to look at it in chunks. That is I'd like to divide into a series of submatrices of order 2x2. | 1 2 3 4 5 6 7 8 ... | | 1 2 3 4 5 6 7 8 ... | | 1 2 3 4 5 6 7 8 ... | | 1 2 3 4 5 6 7 8 ... | ... So the first submatrix would be | 1 2 | | 1 2 | the second one would be | 3 4 | | 3 4 | and so on. That is I want the matrix to be evenly divided

Dear all: I¡¯m trying to get unbiased feature importance of my data via package ¡°party¡±, which contains 1-5 integer value, and a few numeric values attributes. The class label is 1-5 integer value as well. In total I have 20 features with 1100 observations. I checked the type my data in R using class(my_data_cell), no factor has been observed. I received a commond error like others did

Hi, I am trying to install kali-linux-2020.2-installer-amd64.iso ( https://www.kali.org/downloads/) using KVM virt-install tool #virt-install --name=kalilinux --file=/linuxkvmaddgbdisk/kalilinux.img --file-size=50 --nonsparse --vcpu=2 --ram=4096 --network=bridge:br0 --os-type=linux --os-variant=debian9 --graphics none --location=/linuxkvmaddgbdisk/kali-linux-2020.2-installer-amd64.iso

On Fri, Aug 7, 2020 at 1:10 PM Erik Skultety <eskultet@redhat.com> wrote: > On Wed, Aug 05, 2020 at 10:13:57PM +0530, Kaushal Shriyan wrote: > > On Wed, Aug 5, 2020 at 1:32 PM Pavel Hrdina <phrdina@redhat.com> wrote: > > > > > On Wed, Aug 05, 2020 at 06:57:11AM +0530, Kaushal Shriyan wrote: > > > > Hi, > > > > > > > > I am

On Wed, Aug 5, 2020 at 1:32 PM Pavel Hrdina <phrdina@redhat.com> wrote: > On Wed, Aug 05, 2020 at 06:57:11AM +0530, Kaushal Shriyan wrote: > > Hi, > > > > I am trying to install kali-linux-2020.2-installer-amd64.iso ( > > https://www.kali.org/downloads/) using KVM virt-install tool > > > > #virt-install --name=kalilinux

El código que me olvide pegar input m <- structure(c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 5, 5, 5), .Dim = c(10L, 5L)) m ## output output <- c(1:3, 1:5, 1:2) output nfilas <- nrow(m) while(nfilas > 0) { diagonal <- diag(m)

Dear R community, I have trouble implementing a nested variance-covariance matrix in the lme function. The model has two fixed effects called End and logpgc, the response variable is the logarithm to base 2 of Intensity ( log2(Intensity) ) and the random effects are called Probe and ProbeNo. The model has the following nesting structure: A Pixel is nested within the ProbeNo,the ProbeNo is

I tried to use gpuCor function in the gputools package of R to calcuate the pairwise correlations of a matrix of 40,000 columns. Becuase there would be memory issues if I use the whole matrix at a time, I splitted the matrix into submatrix of 10,000 columns and then calculate the pairwise correlation of different submatrices. There are altogether 4 submatrices, so I need to calculate the pearson

Hi All, I'm about to setup an Asterisk install to take over an old legacy PBX system. At present, the legacy system has modules in it which provides 4 * data ISDN links to the video conferencing unit (Tandberg 3000 MXP) on site, these use the ISDN30 (uk) that the normal voice calls go over. Is it possible to emulate this in asterisk? I've seen zapras but I'm not sure if that's

Dear R users, I have a Hadamard matrix 16x15 and i want to put 16x5 submatrices in an array put i have an error. > A1<-matrix(c(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, + 1,0,1,0,1,0,1,0,1,0,1,0,1,0,1, + 0,1,1,0,0,1,1,0,0,1,1,0,0,1,1, + 1,1,0,0,1,1,0,0,1,1,0,0,1,1,0, + 0,0,0,1,1,1,1,0,0,0,0,1,1,1,1, + 1,0,1,1,0,1,0,0,1,0,1,1,0,1,0, + 0,1,1,1,1,0,0,0,0,1,1,1,1,0,0, + 1,1,0,1,0,0,1,0,1,1,0,1,0,0,1, +

Estimado Javier, Gracias por tu mensaje. No, lo unico que requiero es la lista de números (i1, 2, 3, 1, 2, 3, 4, 5, 1, 2). Saludos cordiales, Jorge.- 2015-10-28 14:35 GMT-05:00 Javier Rubén Marcuzzi < javier.ruben.marcuzzi en gmail.com>: > Estimado Jorge I Velez > > > > No comprendo un punto, dices que deseas construir sub matrices y extraer > elementos de sub

Hi Pavel, I am running virt-install version 1.5.0 on CentOS Linux release 7.6.1810 (Core) server. #virt-install --name=kalilinux --file=/linuxkvmaddgbdisk/kalilinux.img --file-size=50 --nonsparse --vcpu=2 --ram=4096 --network=bridge:br0 --os-type=linux --os-variant=debian9 --graphics none --location

Hi, I am writing an R package with two functions in C++. So far everything works. Now, i would like to write a third function which would use a pointer (it is a pointer to a class object) created by first function. I tried placing this pointer outside of the function definitions (i.e to make it global) but when called in the 3rd function i get > *** caught bus error *** address 0x0,

Hi, I am writing an R package with two functions in C++. So far everything works. Now, i would like to write a third function which would use a pointer (it is a pointer to a class object) created by first function. I tried placing this pointer outside of the function definitions (i.e to make it global) but when called in the 3rd function i get > *** caught bus error *** address 0x0,

Buenos dias a todos, Quisiera extraer algunas entradas de una matrix "m" teniendo en cuenta algunas restricciones. El siguiente ejemplo ilustra la situacion: ## input m <- structure(c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 5, 5, 5), .Dim = c(10L, 5L)) m ## output output <-