similar to: strange behavior in 'inherits' check for loaded S4 object

I should add one more item that may be related here -- calling 'methods:::.requirePackage' returns a different result based on whether the package namespace is already loaded or not. If the package namespace is not loaded, the package is loaded and attached, and the package environment is returned: > methods:::.requirePackage("digest") Loading required package:

(Just returning from the "wilds" of Canada, so not able to comment on the specifics, but ...) There is a basic point about generic functions that may be related to the "private" class question and my earlier remarks that Martin alluded to. R (and S4 before it) allows packages to define methods for a generic function in another package. Say, for plot() in graphics. The

I have a small idea as to what's going on now; at least, why exporting the class resolves this particular issue. Firstly, when an S4 class is not exported, the associated '.__C__<class>' object is not made part of the package environment. For example, I see: > getAnywhere(".__C__SubMatrix") A single object matching '.__C__SubMatrix' was found It

>>>>> Kevin Ushey <kevinushey at gmail.com> >>>>> on Fri, 29 Jul 2016 11:46:19 -0700 writes: > I should add one more item that may be related here -- > calling 'methods:::.requirePackage' returns a different > result based on whether the package namespace is already > loaded or not. > If the package namespace is

Hi Martin, John, Thanks for the responses! I've tidied up some of the notes from this mailing list thread and posted them on the bug tracker. John, in this case, I think namespaces are relevant because for non-exported S4 classes, the class information is made available through the '.__C__<package>' symbol in the package's namespace, but not the package environment that

Hi, I'd like to store large covariance matrices using Matrix classes. dsyMatrix seems like the right one, but I want to specify just the upper/lower triangle and diagonal and not have to instantiate a huge n^2 vector just for the sake of having half of it ignored: Dumb example: M <- new("dsyMatrix", uplo="U", x=rnorm(1e4), Dim=as.integer(c(100, 100))) diag(M) <- 1

Dear UseRs, here is an example scenario presenting my problem: Multiplying a dsyMatrix with a numeric vector results in an error (unfortunately in German due to my locale): > (M1 <- Matrix( c( 1, 2, 2, 2, 1, 2, 2, 2, 1), nrow = 3)) 3 x 3 Matrix of class "dsyMatrix" [,1] [,2] [,3] [1,] 1 2 2 [2,] 2 1 2 [3,] 2 2 1 > M1 %*% 1:3 Fehler in x %*%

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

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

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

Hi, I'm quite new to R, so excuse me if this problem has a simple solution. I'm working with an array, lets say i <- array(c(1:3,3:1), dim=c(3,2)) Then I want to give the rows and the columns names: rownames(i)<-c("a","b","c") colnames(i)<-c("d","e") The result is given below: d e a 1 3 b 2 2 c 3 1 Here comes my problem.

Does anyone have something like tapply that is extremely fast for matrices when there is a very large number of levels of the grouping variable? I'm referring to, for example, tapply(x, grouping.variable, function.operating.on.submatrix) where x is a matrix and the submatrix is a subset of the rows of x. The grouping variable's length equals the number of rows of x. -- Frank E

Full_Name: David Pleydell Version: 2.2.1 OS: Debian Etch Submission from: (NULL) (193.55.70.206) There appears to be a conflict between the chol functions from the Matrix and the SparseM packages. chol() can only be applied to a matrix of class dspMatrix if SparseM is not in the path. with gratitude David > library(Matrix) > sm <- as(as(Matrix(diag(5) + 1), "dsyMatrix"),

Hello everybody I'm very new at using R so probably this is a very stupid question. I have a matrix of "p" columns and I have to calculate for each of them the "two sample t-statistic" and p-value and to save the results into two different vectors. I have divided my matrix into two submatrices: submatrix A containing the first "n1" rows (p columns) and submatrix B

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 R-Wizards: I've looking through the R docs and have yet to find what I'm looking for and have tried a few intermediate steps to now avail yet and rather than spend another few hours looking for the solution, I figured I would post a message. I have a matrix (actually a set of them) that I want to pull all the names of the non-zero columns into a vector/list for further processing:

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

Hello, I'm am in the process of trying to port a RATS functions to R and have the problem, that RATS allows for the creation of submatrixes that are linked to their basematrix. Basically it should work like this: a = matrix(1:(4*3),4,3) a # [,1] [,2] [,3] # [1,] 1 5 9 # [2,] 2 6 10 # [3,] 3 7 11 # [4,] 4 8 12 # This of course doesnt work :) b =