sparse_norm

Normalize a Sparse Matrix by Rows or Columns

Usage

sparse_norm(mat, dim = 1)

Arguments

mat

A sparse matrix (class `dgCMatrix`).

dim

Integer. Dimension to normalize over: `1` = rows (default), `2` = columns.

Value

A sparse matrix with normalized values.

Details

Applies row-wise or column-wise L1 normalization to a sparse matrix. Returns a new sparse matrix with normalized entries, preserving sparsity.

Examples

library(Matrix)
m <- rsparsematrix(5, 5, density = 0.4)
norm_mat <- sparse_norm(m, dim = 1)
print(norm_mat)
#> 5 x 5 sparse Matrix of class "dgCMatrix"
#>                                                       
#> [1,] .         0.3953488 0.6046512 .         .        
#> [2,] 0.2794118 .         .         0.7205882 .        
#> [3,] 0.3596491 .         .         .         0.6403509
#> [4,] .         .         .         1.0000000 .        
#> [5,] 0.3575130 .         0.5181347 .         0.1243523