similar to: x <- 1:2; dim(x) <- 2? A vector or not?

I want to take slices of a multi-dimensional table (or array) without knowing the number of dimensions in advance. As a test I tried using (in this example a 3d table): do.call(`[`, list(tbl, x,NULL,NULL)] where I built the list on the fly. It works great as long as I only want the first dimension however when I try a different dimension, say with list(tbl,NULL,x,NULL), I get

Hello R-users, I'd like to load data from a CSV-file to a 3-dimensional array. However the default seems to be 2-dimensional. It would also be ok to load the data and then convert it to a 3-dimensional structure. I've been trying: dat = read.csv(filename) myArr = as.array(dat, dim = c(12,100,3)) However, I get an error message: Error in `dimnames<-.data.frame`(`*tmp*`,

Hi all, I'm not sure if this is a feature or a bug (and I did read the FAQ and the posting guide, but am still not sure). Some of my students have been complaining and I thought I just might ask: Let K be a vector of length k. If one types dim(K), you get NULL rather than [1] k. Is this logical? Here's the way I explain it (and maybe someone can provide a more accurate

Hi, I like mosaic function of "vcd" package. I have played around it. I have found out that mosaic plot data table is 2-dimension does not stretch when you enlarge a mosaic plot. It is okay when data table is 3 or more dimension. The first one is of 3-dimension table case, and the second one is 2-dimension. With the first plot, you can drag window to enlarge a plot. With the

Hi, I am working on some microarray data, and have some problems with writing iterations. In essence, the problem is that objects with three dimensions don't have rownames and colnames. These colnames and rownames would otherwise still be there in 2 dimensional objects. I need to generate multiple iterations of a 2 means-clustering algorithm, and these objects thus probably need 3

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: How can I extract the dimension-names of a pre-defined element in a multidimensional array in R ? A toy example is provided below: I have a 4-dimensional array with each dimension having certain length. In the below example, "mydatastructure" explains the structure of my data. mydatastructure = array(0, dim=c(length(b),length(z),length(x),length(d)), dimnames=list(b,z,x,d)) where,

Hi All, I want to make a 1 dimension vector from the first two dimensions of a 3 dimension array, so make a 2 dimension vector from a 3-dimension one, with "fusing" (making as.vector) the first two dimensions. It seems to be very easy, but I cannot find the solution, I mean it would very strange, that I would do taking the single 1 dimensional vectors from the 3 dimensional one, make one

>>>>> 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,

Hi! I'm just getting started with R (and with the analysis of large datasets in general). I have several beginner-level questions whose answers I have not been able to find, and was hoping one of you would be kind enough to throw me a cluebrick or two. I have a 6-dimensional numeric array (which I'll call myarray) that is "fully named". By this I mean that non-NULL dimnames

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 >

I'd like to propose adding "strict" versions of the subsetting operators "[", "[[", and "$" to the R language. These strict versions would be intended for use in programming rather than in interactive use. They do not perform any form of partial string matching or opportunistic simplification such as dimension dropping by default. They allow more

Just as as.vector() takes a vector, matrix or array and returns a vector in row-major order, I'd like to write a function to take such an object and return the dimension names, pasted with some separator, as a similar vector. Here is something ugly cobbled together to demonstrate what I want: a function to work for any number of dimensions. vecnames <- function(x, sep=':') {

Let's start with a concrete case of n=3 dimensions. Along dimension x, I have a matrix of 5 vectors (each with ten rows) Along dimension y, I have a matrix of 3 vectors (each with ten rows) Along dimension z, I have a matrix of 2 vectors (each with ten rows) I am trying to write a: function(..., funcp) { } where funcp(...) is an operator which works on n vectors and returns a numeric.

Dear list, I'm trying to add a new dim to a multidimensional array. My array looks like this a1 <- array(1:8, c(2, 2, 2)) dimnames(a1) <- list(A = c("A1", "A2"), B = c("B1", "B2"), D = c("D1", "D2")) I would like to add a new dim 'group' with the value "low".

Hi Simon, thank you for the concise reply. Do you mean the reported behavior of drop() is not a bug? It looks like a borderline bug to me (see below), but I'm not the judge of that. If this is the intended behavior and serves an actual purpose, then that could be explicitly documented in a \note{} on the help page. Such a note would slightly reduce the surprise of users running into this

Hi all, Could anybody recommend some easy-to-understand and example based notes/tutorials on how to use cubic splines to do filtering on multi-dimension data? I am confused by the 1-dimensional case, and more confused by multi-dimensional case. I found all the books suddenly become very abstract when it comes to this subject. They don't provide examples in R or Splus at all. Specifically,

I'm looking for a good form in which to store matrix results of a simulation. I am doing a simulation study. Each simulation generates some data and then analyzes it. I want to record the results of many simulations and analyze them. Say r has the results of one simulation, and I care about r$coefficients, a vector of coefficients, and r$var, the estimated covariance matrix. I'll do

Have you tried P2["20", "10", "0"] ? Jean On Thu, Jun 1, 2017 at 3:10 PM, li li <hannah.hlx at gmail.com> wrote: > 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,

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