similar to: How to match two matrices with different dates

Dear R team, The following piece of code (to use the lsa package) works fine on my mac os x, but when I run the same code on Windows XP, it doesn't work any more. ### code: library("lsa") matrix1 = textmatrix("C:\\Documents and Settings\\tine stalmans.TINE. 000\\LSA\\cuentos\\", stemming=TRUE, language="spanish", minWordLength=2, minDocFreq=1,

Hi, On R 2.10.1 for Windows, when I do the following to duplicate the structure of a large numeric matrix called matrix1: matrix2 <- matrix(0,nrow=nrow(matrix1),ncol=ncol(matrix1)) and then rownames(matrix2) <- rownames(matrix1) I get a "cannot allocate vector of size xxMb" error but if I instead do: rnames <- list() rnames <- rownames(matrix1) matrix2 <-

Hi, I have two table matrix, and I would like to compare the different between two matrix. For example: Matrix 1: A B C A 0 1 0 B 0 0 1 C 0 0 0 Matrix 2: A B C A 0 1 0 B 0 0 0 C 0 0 0 Each column which have value 1, should also return value 1. As in this case/example, the result should appear like this (as below). The result of this differentiation should also be in matrix

I'm new to R and I'm not a Statistician I'm an Accountant, but I'm finding it an excellent tool for the business analysis work I do. I need to run LM() where both response and predictor are held in matrices. The model follows the form:- regression1 = matrix1.col1 <-> matrix2.col1 regression2 = matrix1.col2<->matrix2.col2 and so on...... I have no problem with the

Hi, I'm new to programming, new to R and even new to mailing lists so please be patient with me. I need to manage many matrices generated by an R program. These matrices have different dimensions and I'd like to group them somehow. The best way would be to have a big matrix (let's call it database) where every element database[x,y] consists of a list of matrices that all have the

I have two matrix with same dimensions. I want to do t.test using each column from 2 different matrix. Row n Column names in both matrix are same. e.g. Matrix1 id VC1 VC2 VC3 R 1 2 3 R1 4 5 6 R3 7 8 9 Matrix2 id VC1 VC2 VC3 R 10 11 12 R1 13 14 15 R3 16 17 18 want to do t.test using each column (with same name ) using Matrix1 and Matrix2 for eg

Hi, just during these vacation days, I'm trying to approach with multicore package and I have some troubles with foreach. What I'm trying to do is to extract a data in coordinate (ii,jj) from a matrix2, only if the data in the same coordinate in matrix1 is ==1. Make this with a nested "for" take a lot of time because I have thousand of values. ex. Binary_hex = NULL

Hi R-users I have a series of matrices and I would like to bind them together by column using a loop (i.e. not writing cbind(matrix1, matrix2,matrix3....)). The reason is because in my real data set I have a very large number of matrices. Example: matrix1 <- matrix (1:12,4,3) matrix2 <- matrix (13:24,4,3) matrix3 <- matrix (25:36,4,3) matrix4 <- matrix (37:48,4,3)

I have a question related to matrix(). The code below randomly generates 3 Poisson numbers into a 3 by 1 matrix: > matrix1 <- matrix(rpois(3,lambda=2),nrow=3,ncol=1) And I use list() to see what they are: [,1] [1,] 3 [2,] 1 [3,] 4 , which is what I had intended. I then I want to randomly generate y Normal numbers into a 3 by 8 matrix. y in this case would be 3, 1, and 4; so

Hello, I have got two matrices with different length. The matrices have 3 columuns. The first two are coordinates. The third is a measurement. Now I want to get a subtraction between every single value of the third column (between matrix1 and matrix2), but only if the two first coordinates in matrix1 and matrix2 are the same. I tried "FUN=?" in aggregate and ave, but I don't know

Hi, thank you for taking the time and reading my question. My question is twofold: 1. I have several matrices with variables and one matrix with water levels. I want to predict the water level with the data in the other matrices. Basically, * mod<-lm(matrix1 ~ matrix2+matrix3)* ( What looks like a minus is meant to be the wiggly minus.) Of course I could dissemble the matrices and paste

Full_Name: Manuel L?pez-Ib??ez Version: R version 2.6.2 (2008-02-08) OS: linux-gnu Submission from: (NULL) (164.15.10.156) This is only relevant for CPU intensive child processes. Otherwise, the problem is not obvious. Therefore, we need a CPU intensive program like this one: /************************************/ /*** Compile with: gcc -o timer-test -O0 timer-test.c -lm */ #include

I have two matrix with same dimensions. I want to do t.test using each column from 2 different matrix. Column names in both matrix are same. e.g. Matrix1 id VC1 VC2 VC3 R 1 2 3 R1 4 5 6 R3 7 8 9 Matrix2 id VC1 VC2 VC3 R 10 11 12 R1 13 14 15 R3 16 17 18 want to do t.test for eg t.test(Matrix1$VC1, Matrix2$VC1)$p.value What is the best way to do it. I have dataset with

Let's say that I have a bunch of matrices. They look like this (pardon using fruit for examples, my actual data tables are far too enormous): Matrix1 Apples Oranges Pears A 5 6 7 B 5 3 4 C 8 9 10 D 11 13 14 E 15 3 8 F 1 4 5

Dear list, I have two martix like these, each rows with name in the matrix. I try to select rows with identical name from two matrix and calculate their correlation. Matrix1: 2-Sep 9 5.5 1 7.18 10.0 8 139.45 2-Sep 7 4.9 15 8.22 61.68 9 123.62 4-Sep 5-Sep AAMP A2M A2M . . . Matrix2: 2-Sep 4 7 1 6.8 12 8 19.4

Dear R users, I'm trying to create images of 2 symmetrical matrices using heatmap.2 of the 'gplots' library. Both matrices have the same row and column names For the first matrix I'm using the default clustering and column denrogram options: heatmap.2(Matrix1, symm=T, breaks=20, col=rich.colors(19), main="matrix1", density.info="histogram",

Hello, Until yesterday (7 nov 03) I had a mostly working 2.27 samba running on my redhat 9 box that I configured via SWAT. Now I can not get back into SWAT & I also (in a useless attempt to make it work) upgraded to samba 3.0 I get the following when trying to start SWAT: An error occured while loading http://matrix1:901/: Could not connect to host matrix1 (port 901) here

Hello, I have two matrices as shown below: Matrix 1 ID AB1 BC1 CD1 ... name1 1,1 2,1 0,2 ... name2 2,0 1,2 1,2 ... name3 0,2 1,1 2,0 ... name4 2,0 0,2 0,2 ... Matrix 2 ID AB2 BC2 CD2 ... name1 1,1

Hi there! I''ve just migrated from rails 2.3.5 to 2.3.8 and now I have a lot (and I mean a lot!) of deprecation warnings like this one: "DEPRECATION WARNING: ActionView::SafeBuffer is deprecated! Use ActiveSupport::SafeBuffer instead." But I don''t understand how to remove this. I searched through installed plugins, and there is no reference to SafeBuffer :( Any

Dear all, I hope you can forgive me my stupid questions, but I am a very new R user (; So, this is my question: I have two matrices, those are: matrix1 <- matrix(cbind(vector1, vector2), 1,2, dimnames = list(c("values"), c("T value", "p value"))) matrix2 <- matrix(dcbind,2,6,dimnames =