How to implement guide with sparse matrix conversion in r using matrix package - unexpected results
Can someone help me understand I'm trying to implement I'm having a hard time understanding I've been banging my head against this for hours... I'm trying to convert a large sparse matrix into a regular matrix using the `Matrix` package, but I'm running into unexpected behavior. Specifically, after converting my sparse matrix, the dimensions of the resulting matrix don't match what I expect. My sparse matrix is created from a large data frame with many zeros, and I'm using the following code: ```r library(Matrix) # Create an example sparse matrix sparse_mat <- Matrix(c(1, 0, 2, 0, 0, 3), nrow = 2, ncol = 3, sparse = TRUE) # Convert to a dense matrix dense_mat <- as.matrix(sparse_mat) ``` After running this, I noticed that `dense_mat` has the dimensions 2x3 as expected, but when I check the content using `print(dense_mat)`, it shows a structure that suggests it has more columns than it should. The output looks like this: ``` [,1] [,2] [,3] [1,] 1 0 2 [2,] 0 3 0 ``` The zeros are not rendering in the dense format as I expected. I've tried using `as(dense_mat, "matrix")` but I get the same result. Additionally, I'm using R version 4.0.3 and have installed the latest version of the `Matrix` package (1.3-4). I’m not sure if I'm missing something regarding the conversion or if there’s some configuration I need to adjust. Any help would be appreciated! I'm working on a service that needs to handle this. What's the correct way to implement this? I'm working with R in a Docker container on CentOS. For context: I'm using R on Windows 10.