similar to: Cross-validating two matrices

Hi, In the following lines of code are inside of a function, where "TRAIT1" is a function variable calling a column-name inside of the data.frame "new3". This works just fine: m2 <- lmer(get(TRAIT1) ~ perm.score + (1|site), data=new3) but this will not work, m3 <- lme(get(TRAIT1) ~ perm.score , random= ~1|site, data=new3) I get the following error: Error in

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,

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, 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 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

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'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

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, I have a question about merging two files. For example, I have two files, the first file is like the following: id trait1 1 10.2 2 11.1 3 9.7 6 10.2 7 8.9 10 9.7 11 10.2 The second file is like the following: id trait2 1 9.8 2 10.8 4 7.8 5 9.8 6 10.1 12 10.2 13 10.1 now I want to merge the two files by the variable "id", I only want

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

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

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)

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

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

I'm performing item response theory with eRm packages I am excluding the persons that doesn't fit in the infit/outfit persons. for that I created a condition. then I have to create a new subset or matrix but with the condition. So: ORIGINAL matrix<-cbind(item1, item2, item3, item4) IF I PERFORM A head(matrix) item1 item2 item3 item4 3 2 3 1 3 1

A general question that I have been pursuing for some time but have set aside. When finishing some analysis, I can have multiple matrices that have specific column names. Ideally, I would like to combine these separate matrices for a final output as a csv file. A generic example: Matrix 1 var1A var1B var1C x x x x x

Dear All, Could someone please suggest how to find the Kronecker sum of two 2x2 matrices, i.e. given two matrices: -A A a -a and -B B b -b I need: -A-B A B 0 a -a-B 0 B b 0 -A-b A 0 b a -a-b Many thanks, Lara [[alternative HTML version deleted]]

Hi R people! I am looking for some suggestions writing an if-else function. The idea is to characterize different plots containing counts of variables (here parasites). If a plot has a count equal or higher than 4 for any parasite the function should return a 1 else a 0. Later I can loop the function over all plots. Here I have a little subset of my data: VariablePAR Plot1