sparsity_summary: Entry-wise Sparsity in the Loadings per Group

In ssMRCD: Spatially Smoothed MRCD Estimator

Entry-wise Sparsity in the Loadings per Group

Description

Entry-wise Sparsity in the Loadings per Group

Usage

sparsity_summary(PC, N, p, tolerance = 0, k = 1, scaled = FALSE)

Arguments

PC	matrix-like object of PCs.
N	integer, number of groups.
p	integer, number of variables.
tolerance	tolerance for sparsity.
k	integer or integer vector of which component should be used.
scaled	logical, if total number or percentage of possible sparse entries should be returned.

Value

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

Examples

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

ssMRCD documentation built on Sept. 11, 2024, 5:14 p.m.