search for: dimnamed

Hello, the fix of PR18612 (https://bugs.r-project.org/show_bug.cgi?id=18612) in r85380 (https://github.com/wch/r-source/commit/2653cc6203fce4c48874111c75bbccac3ac4e803) caused a change in `dim<-()`. Specifically, in the past, any `dim<-()` assignment would _always_ remove "dimnames" and "names" attributes per help("dim"): The replacement method changes

>>>>> Henrik Bengtsson >>>>> on Sun, 29 Oct 2023 10:42:19 -0700 writes: > Hello, > the fix of PR18612 > (https://bugs.r-project.org/show_bug.cgi?id=18612) in > r85380 > (https://github.com/wch/r-source/commit/2653cc6203fce4c48874111c75bbccac3ac4e803) > caused a change in `dim<-()`. Specifically, in the past,

Hello, I'm hoping someone with a wide experience with R may be able to see what the program is trying to tell me. I've got an array: y1=rnorm(41,0.2) y2=rnorm(41,0.2) y3=rbind(y1,y2) data11<-array(0,c(41,2,2)) data11[,1,]=y3 data11[,2,]=y3 rownames(data11)<-rownames(data11, do.NULL = FALSE, prefix = "Obs.") colnames=c("V","R")

Hi Martin, Henrik, I actually like this change. Makes a lot of sense IMO that dim(x) <- dim(x) be a no-op, or, more generally, that foo(x) <- foo(x) be a no-op for any setter/getter combo. FWIW S4Arrays::set_dim() does that too. It also preserves the dimnames if the right value is only adding or dropping outermost (ineffective) dimensions: ??? > x <- array(1:6, dim=c(2,3,1),

Hi, I was bitten by a little incoherence in dimnames assignment or may be I missed some point. Here is the case. If I assign row names via dimnames(a)[[1]], when nrow(a)=1 then an error is thrown. But if I do the same when nrow(a) > 1 it's OK. Is one of this case works unexpectedly? Both? Neither? a=as.matrix(1) dimnames(a)[[1]]="a" # error: 'dimnames' must be a list

Dear list, If anyone knows how to assign dimnames to matrices or arrays I would be most grateful for help. I've tried various permutations of likely-looking code but get error messages every time. I could find no example in the documentation. Many thanks, Dan Bebber Department of Plant Sciences University of Oxford South Parks Road Oxford OX1 3RB UK Tel. 01865 275000

I have a matrix y: > dimnames(y) $x93 [1] "1" "2" $x94 [1] "0" "1" "2" .................. so on (there are other dimensions as well) I need to access a particular dimension, but a random mechanism tells me which dimension it would. So, sometimes I might need to access dimnames(y)$x93, some other time it would be dimnames(y)$x94.. and so

I have two queries about the behaviour of drop() and apply() regarding the dimnames and names(dimnames) of the answer. I would appreciate any comments on this behaviour. I will submit any of this as a bug report if I am encouraged to do so. The first query, concerning drop(), seems to me to be a bug in ?drop, and possibly also in the function. ?drop: [...] Any accompanying 'dimnames'

Is there a reason that array() silently ignores dimnames that are not a list but matrix() gives an error? > str(matrix(11:14, 2, 2, dimnames=c("Rows","Cols"))) Error in matrix(11:14, 2, 2, dimnames = c("Rows", "Cols")) : 'dimnames' must be a list > str(array(11:14, dim=c(2, 2), dimnames=c("Rows","Cols"))) int

Full_Name: Hsiu-Khuern Tang Version: 1.3.0 OS: GNU/Linux (Debian unstable) Submission from: (NULL) (192.6.19.124) Hi all, I am not sure this is a bug rather than an intentional design, but here goes: If I do > a <- matrix(1:4, nrow=2) > dimnames(a)[[1]] <- c("a", "b") I get the following error message because dimnames(a) is NULL: Error: more elements

hello, i have been trying to convert my data frames to matrices in the hopes of speeding up some of my more complicated scripts. to assist with this, i am trying to create a "matrix column operator" like $: "%$%" = function(data,field) { as.numeric(data[,grep(field,unlist(dimnames(data)[2]))]) } the idea here is that you can use a matrix like a dataframe:

I have two matrices, generated by R functions that I don't understand. I want to confirm that they're the same, but I know that they have different attributes. If I want to compare the dimnames, I can say > identical(attr(tm, "dimnames"), attr(tmm, "dimnames")) [1] FALSE or even: > identical(dimnames(tm), dimnames(tmm)) [1] FALSE But I can't find any

>>>>> Martin Maechler >>>>> on Wed, 19 Feb 2020 18:06:57 +0100 writes: >>>>> Serguei Sokol >>>>> on Wed, 19 Feb 2020 15:21:21 +0100 writes: >> Hi, >> I was bitten by a little incoherence in dimnames assignment or may be I >> missed some point. >> Here is the case. If I assign row names

Hi all, I have a three dimensional array with the corresponding dimension names. I would like to subset the array according to the dimension names. For example, suppose I want to extract the values corresponding to A=20, B=10, C=0. I know I can do: P2[dimnames(P2)$A==20, dimnames(P2)$B==10, dimnames(P2)$C==0] But is there a better way for doing this? Thanks for your help! Hanna >

Full_Name: Ben Goodrich Version: 2.9.0 OS: Linux (Debian unstable) Submission from: (NULL) (128.103.220.16) row(x), col(x), and functions that call them like lower.tri(x) and upper.tri(x) do not retain the rownames or colnames of x in the matrix that is returned. Example from R version 2.9.0 : x <- matrix(1:9, nrow = 3, ncol = 3) rownames(x) <- LETTERS[1:3] colnames(x) <- letters[1:3]

I am attempting to run a Poisson EWMA model using Patrick Brandt's source code. I get the following error when I run the code: Error in dimnames(x) <- dn : length of 'dimnames' [1] not equal to array extent Dimnames(x) looks like this: [[1]] NULL [[2]] [1] "mip" "div" "nom" "unity" "mood"

Dear all, is there anyone who can help me extracting p-values from an Anova object from the car library? I can't seem to locate the p-values using str(result) or str(summary(result)) in the example below > A <- factor( rep(1:2,each=3) ) > B <- factor( rep(1:3,times=2) ) > idata <- data.frame(A,B) > fit <- lm( cbind(a1_b1,a1_b2,a1_b3,a2_b1,a2_b2,a2_b3) ? sex,

Hi list, In a function I am writing, I need to extract the dimension names of an array. I know this can be acheived easily using dimnames() but my problem is that I want my function to be robust when the number of dimensions varies. Consider the following case: foo <- array(data = rnorm(32), dim = c(4,4,2), dimnames=list(letters[1:4], LETTERS[1:4], letters[5:6])) # What I want is to extract

Hello, I'm working with an array; I'm trying to make it so that an array of dim(42,2,2) has names whose length corresponds to that of the array, and am hoping someone with experience with this can see what I'm not doing correctly: data11 = array(0,c(41,2,2)) y = lsoda(x0,times,fhn$fn.ode,pars)#This is make.fhn() from colloc infer package# y = y[,2:3]

Hi I'm using kronecker() with a matrix and a vector. I'm interested in the column names that kronecker() returns: > a <- matrix(1:9,3,3) > rownames(a) <- letters[1:3] > colnames(a) <- LETTERS[1:3] > b <- c(x=1,y=2) > kronecker(a,b,make.dimnames=TRUE) A: B: C: a:x 1 4 7 a:y 2 8 14 b:x 2 5 8 b:y 4 10 16 c:x 3 6 9 c:y 6 12 18 > The