opnmfR_test_ranksel: Rank selection test on user provided data Runs all three...

In kaurao/opnmfR: Orthogonal Projective Non-negative Matrix Factorization

Description

Rank selection test on user provided data Runs all three avilable rank selection methods.

Usage

opnmfR_test_ranksel(X = NULL, rs = NULL, W0 = "nndsvd", nrepeat = 1)

Arguments

X	A matrix, if NULL the "iris" data is used (default NULL)
rs	A vector of ranks to test for selection, if rs=NULL then 1:nrow(X) is used (default NULL)
W0	A string or matrix for initialization (default "nndsvd")
nrepeat	A number, number of iterations for rank selection, i.e. number of permutations for opnmfR_ranksel_perm and number of split-halves for opnmfR_ranksel_splithalf (default 1)

Value

A list with rank selection outputs from opnmfR_ranksel_perm, opnmfR_ranksel_ooser, and opnmfR_ranksel_splithalf

See Also

opnmfR_ranksel_perm, opnmfR_ranksel_ooser, and opnmfR_ranksel_splithalf

Examples

result <- opnmfR_test_ranksel()

kaurao/opnmfR documentation built on March 12, 2021, 4:15 a.m.