similar to: Matrix and rownames problem

Hi there and thanks in advance. I have a large symmetrical matrix stored in a text file. After load in R I would like to extract the same number of columns and rows (symmetrical submatrix) using their labels. I have tried this code in order to extract columns, but R console gives me the "+" sign at the end of the code, pointing out incomplete command, so it is not working:

I have a matrix M > dim(M) [1] 30380   561 I have another list L contains , that contains some row names of matrix M str (L)  chr [1:21037] Now I want to extract the submatrix subM (21037    ,    561)  from the matrix M by matching the rownames (M) to the 21037 rownames o f L How do I do that ? Thanks and regards, Pankaj Barah   Pankaj Barah Department of Biology  Norwegian University

Hi, is there any way to keep a sub matrix dimension? exemple : i1<-1; i2<-1 j1<-2; j2<-3; ret <-matrix(1,4,4)[i1:i2,j1:j2] ; dim(ret) is NULL because the submatrix single col or single row is coerce to a vector automaticaly. How can i bypass this cast : submatrix->vector ??????? Thank you. --------------------------------- [[alternative HTML version

Dear R-helpers I have the following problem: given a m x n matrix A, I want to have just a m x k submatrix B, with B[i,] = A[i, offset[i] + 1:k], e.g. from > offset <- c(0, 0, 1) > a <- matrix(1:9, 3) > a [,1] [,2] [,3] [1,] 1 4 7 [2,] 2 5 8 [3,] 3 6 9 the submatrix b 1 4 2 5 6 9 I can do this with a for loop or with sapply > b <-

Why does R need the concept of "Vector"? In my opinion, it is a useless and confusing concept. A vector is simply a special case of a matrix whose row or column number is equal to 1. When I take submatrix from one matrix and if row or column number is 1, R will automatically convert it into a vector. It is very straightforward that a submatrix of a matrix should be a matrix. In

Hello, I am trying to iteratively build a build a panel of variables to discriminate between two groups. My starting position is a matrix of experimental data and I have a function that will work through all pairs of variables and produce sensitivities, specificities and p-values for each pair and write it to a file (above particular cut-offs). I have a second function that will read that file

Good morning, Good morning, I'm trying to read the file into an array, with the following code. A<- as.matrix(read.csv("~/Desktop/Results/Cfile.csv", header = FALSE, sep=",")) The content of the file " ","1","2","3","4" "1", 484,43,67,54 "2",54,35,67,34 "3",69,76,78,55

Hi, I need help with two related issues: 1. I wish to drop repeating text "BST" from the below 'dates' string: [1] "2005-04-01 BST" "2005-04-04 BST" "2005-04-05 BST" "2005-04-06 BST" "2005-04-07 BST" "2005-04-08 BST" "2005-04-11 BST" "2005-04-12 BST" "2005-04-13 BST" "2005-04-14

Hi, I have a simple question about matrix/data frame manipulation. I have a data frame that looks a something like this X Y Z 1 0 "apples" -1 -1 "oranges" ... 0 -1 "bananas" and I'd like to pull out all the rows for which X and Y are (un)equal into a submatrix. How can I do that? Many thanks, Roger Levy

Hi, I have a matrix that has a variable number of columns. I do not know, a priori, the number of columns. How can I get a sub matrix, for example, from row 10 to the end of the columns? In MatLab I would use something like this: SubMatrix = Matrix[10, 1:end] Thanks a lot. -- View this message in context: http://www.nabble.com/Get-data-from-matrix-tf4629336.html#a13218653 Sent from the R

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

Hi, (sorry for the wall of text; the issue here appears to be rather complicated) I'm seeing a somewhat strange case where checking whether an S4 object inherits from a parent class defined from another package with 'inherits' fails if that object is materialized through a call to 'load'. That's a mouthful, so I've put together a relatively small reproducible example

Hi all, I think this might be an easy one but I cannot think of a way to do this other than what I am currently attempting. I simply want to sort my data frame's rownames by a defined vector so that the plots I generate from that vector are in the desired order Consider the test data below: #Create test data DataToPlot.. <- data.frame("Location1" =

Hi, I have a large matrix containing 10000 rows and 60 columns. I would like to subset this matrix by using a list of several hundred row names. I tried to find how to do that, eg with %in% or subset commands, but I never succeed and I do not find the proper method on internet. How to proceed ? Thanks Muppy -- View this message in context:

I noticed something surprising (in R 2.2.1 on WinXP) According to the documentation, rownames and colnames are character vectors. Assigning a vector of class POSIXct or POSIXlt as rownames or colnames therefore is not strictly according to the rules. In some cases, R performs a reasonable typecast, but in some other cases where the same typecast also would be possible, it does not. Assigning a

I noticed something surprising (in R 2.2.1 on WinXP) According to the documentation, rownames and colnames are character vectors. Assigning a vector of class POSIXct or POSIXlt as rownames or colnames therefore is not strictly according to the rules. In some cases, R performs a reasonable typecast, but in some other cases where the same typecast also would be possible, it does not. Assigning a

Hi All, I am trying to create a function which evaluates whether the values (which are equal to one) of a matrix are the same as their mirror values. Consider the following matrix: > n<-matrix(cbind(c(0,1,1),c(1,0,0),c(0,1,0)),3,3) > colnames(n)<-cbind("A","B","C");rownames(n)<-cbind("A","B","C") > n A B C A 0 1 0 B

As I was working through elementary examples, I was using dataset "plasma" of package "HSAUR". In performing a logistic regression of the data, and making the diagnostic plots (R-2.5.0) data(plasma,package='HSAUR') plasma_1<- glm(ESR ~ fibrinogen * globulin, data=plasma, family=binomial()) layout(matrix(1:4,nrow=2)) plot(plasma_1) I find that data points

Dear all, I'm a relative new user of R and I have a problem with merging a collection of matrices. All matrices in this collection have the same dimension (532 rows and 532 columns), but can differ in the row and columns names. I'd like to merge these matrices in such a way that the resulting matrix only contains unique row- and column-names and that in case of a match between the row or

I find one row in my large dataset. But when I use the "rownames" for the data on the 100,000 row, the result show nothing. I try it by the following example, it still likes that. > tst[rownames(tst)==100000,] [1] x y <0 rows> (or 0-length row.names) ############## > tst=data.frame(x=1:200000,y=200000:1) > tst[rownames(tst)==1,] x y 1 1 200000 >