similar to: Help running a Fortran subroutine from R

Define an array > v<-1:256 > dim(v)<-rep(4,4) Subarrays can be obtained as follows: > v[3,2,,2] [1] 71 87 103 119 > v[3,,,2] [,1] [,2] [,3] [,4] [1,] 67 83 99 115 [2,] 71 87 103 119 [3,] 75 91 107 123 [4,] 79 95 111 127 In the general case this procedure is very tedious. Given an array A, dim(A)=(dim_1,dim_2,...,dim_d) and two vectors

Hi, I recently encountered a problem with array subsetting and came up with a fix. Given an array of arbitrary dimensions, in which the number of dimensions is only known at runtime, I wanted to extract a subarray. The main issue with doing this is that in order to extract a subarray from an array of (say) 4 dimensions you usually specify something like this a.subarray <- a[,c(4,2),1:5,]

useR's I have a matrix from which I want to take multiple subsets from, according to a particular scheme I will now describe. The matrix below (mat) is 5x5, and I want to take 9 subsets of it, each of dimension 3x3. The best way to explain what the result should look like is with the following: > dat <- c(3,6,1,9,12,9,2,10,6,5,3,13,1,4,8,9,4,6,10,11,2,7,3,5,10) > miss <-

Hi, R is having the following weird behavior and I am not sure if that is a feature or a bug: I am working on the following "3D" array: > bIm , , 1 [,1] [1,] TRUE [2,] TRUE [3,] TRUE [4,] TRUE [5,] TRUE > class(bIm) [1] "array" > dim(bIm) [1] 5 1 1 When I try to get the first 2D subarray, the whole thing folds into a vector: > bIm[,,1] [1] TRUE TRUE TRUE

Hi. I'm new to R, and I'm still learning R's system for addressing subsets of data structures. I'm particularly interested in the problem of selecting subarrays based on complex criteria involving the dimnames (as opposed to the values of the cells) of the array. Here's an example of such a problem. Suppose I have an array x of unknown dimensions (it may have been passed as

I've been wondering how to work with more data than can fit in memory, in a way that allows it to be worked with conveniently and quickly. Of course, a database can be used for this purpose, but extracting data from a database is much slower and somewhat less convenient than extracting data from a native object (at least in our setup). One idea I was thinking about was to have a new

Hi, I need to do several matrix multiplications with the corresponding matrices forming two 3-dimentional arrays. To illustrate my problem, let's say I have the following 3-dimensional arrays: array1 <- array(1:30,dim=c(3,2,5)) array2 <- array(1:20,dim=c(2,2,5)) I know that I can get what I want with the following computation : result <- array(dim=c(dim(array1)[1],

Hello again ruby community! I just learned how to add two arrays(I know, i know). My program looked like this array1=[1,2,3] array2=[4,5,6] array_sum=array1+array2 I thought pretty simple stuff, they are combined. However, now i am looking to define that code as a method and I do not understand how to create the correct number of arguments, so when the method is called back it gives me my

Hello everyone, I am trying to subset a matrix with the following code: dat<-read.table(file="C:\\Documents and Settings\\Owner\\My Documents\\Yeast\\Yeast.txt",header=T,row.names=1) file.show(file="C:\\Documents and Settings\\Owner\\My Documents\\Yeast\\Yeast.txt") Z.matrix<-as.matrix(dat) Y<-array(dat,dim(,[46:63]) but I keep getting the error message: error in dim

If possible I would like to combine two different character arrays in combinations Array1 <- c("height","weight","age","sex") Array2 <- c("trt0","trt1","trt2") I would like to combine these two character vectors to end up with such ... Array3 "height.trt0.trt1" "height.trt0.trt2"

I have two large arrays of strings array1 with 180000 names and array2 with 24000 names ,I want to find the common names in both of them. My arrays are for example Array1 Array2 GAP4 HIST1B-histamine.... MFG12 SNRPD-signal induced... CFH1A

On May 22, 2014, at 3:51 PM, Chandler Carruth <chandlerc at google.com> wrote: > > On Thu, May 22, 2014 at 4:42 PM, Louis Gerbarg <lgg at apple.com> wrote: > The problem that the above transform is technically illegal because “When indexing into a (optionally packed) structure, only i32 integer constants are allowed (when using a vector of indices they must all be the same

Dear R-help community, I have 2 different arrays of precipitation data each of the same dimensions of [longitude, latitude, time] dim=[30,32,43], called array1 and array2. I need to correlate them. This is the code I used to get one overall correlation value for the whole of the area of interest: > result <- cor(array1,array2,use="complete.obs") > result This give me a

HI, Dear R community, I am trying to created new variables and put into a data frame through a loop. My original data set: head(first) probe_name chr_id position array1 1 C-7SARK 1 849467 10 2 C-4WYLN 1 854278 10 3 C-3BFNY 1 854471 10 4 C-7ONNE 1 874460 10 5 C-6HYCN 1 874571 10 6 C-7SCGC 1 874609 10 I have

dear R users, please, consider the following code you may run: setClass("my.class1", representation( my.list = "list", my.array1 = "array"), prototype=prototype( my.list =list(), my.array1 =array(0,c(3,3,3)) )) #------------------

Hi, I've just started using RSPerl. Though also tests in directory "/usr/local/lib/R/library/RSPerl/tests/" are passed successfully, I meet the problem with the following codes; use strict; use warnings; use R; use RReferences; my @array1=1..10; my @array2=1..39; &R::initR("--silent"); &R::library("RSPerl"); my $tt=&R::call("t.test",

Hello, We would like to begin discussions around a new set of intrinsics, to better express multi-dimensional array indexing within LLVM. The motivations and a possible design are sketched out below. Rendered RFC link here <https://github.com/bollu/llvm-multidim-array-indexing-proposal/blob/master/RFC.md> Raw markdown: # Introducing a new multidimensional array indexing intrinsic ## The

Thanks for your help with this problem about dynamic linked libraries. I thought I had it solved, but apparently not. Below is a small piece of Pascal code that I compile into a library. When I load the library using dyn.load R becomes very unstable. The Mac GUI crashes in all kinds of situations --even moving a window can sometimes crash it. Running from the command line (I thought the

Hello all, I want to copy all files on the SRC side to the DST side without deleteing any from the DST side. However, whenever I run rsync the files on the DST side are deleted if they were deleted from the SRC side. What am I doing wrong? I am running the following command: ======================================================== rsync -avz --progress --force --delete-excluded

I am trying to write a dynamic linked library for R, in Pascal. (This is to speed up the execution of a simulation that I am running in R.) I know Pascal might not be the perfect language for this (C or Fortran being more natural), but from what I have read I think it should work. Though I should point out that I am a neophyte when it comes to DLLs. From R I want to hand a function in