ssMRCD (version 1.1.0)

sparsity_group: Group-wise Sparsity in the Loadings

Description

Group-wise Sparsity in the Loadings

Usage

sparsity_group(PC, N, p, tolerance = 0, k = 1, scaled = TRUE)

Value

Returns either a matrix of percentages (scaled = TRUE) or the amounts of zero-values entries (scaled = FALSE) for each group/neighborhood.

Arguments

PC

matrix-like object of PCs.

N

integer, number of groups.

p

integer, number of variables.

tolerance

tolerance for sparsity.

k

integer, which components should be used. Does not work for multiple PCs simultaneously.

scaled

logical, if total number or percentage of possible sparse entries should be returned.

Examples

PC = matrix(c(1,0,2,3,0,7,0,1,0,1,0.001,0), ncol = 2)
sparsity_group(PC, N = 2, p = 3, tolerance = 0, k = 1, scaled = FALSE)
sparsity_group(PC, N = 2, p = 3, tolerance = 0.001, k = 2, scaled = TRUE)