opnmfR_ranksel_perm: Permutation based rank selection
In kaurao/opnmfR: Orthogonal Projective Non-negative Matrix Factorization

Description Usage Arguments Value

View source: R/opnmfR.R

Permutation based rank selection

opnmfR_ranksel_perm(
  X,
  rs,
  W0 = NULL,
  use.rcpp = TRUE,
  nperm = 1,
  plots = TRUE,
  seed = NA,
  rtrue = NA,
  ...
)

`X`	A matrix, rows are the number of features and columns are number of samples
`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 NULL)
`use.rcpp`	A logical, use `opnmfRcpp()` (default TRUE) dimensional data (default TRUE)
`nperm`	A number, number of permuatations conducted (default 1)
`plots`	A logical, create a dot plot displaying the similarity measures for ranks provided and indicating the highest value for each measure (default TRUE)
`seed`	the `set.seed` used to select the split-half (default NA)
`rtrue`	the true rank of the input data if known (default NA)

A list containing the approximation matrices W and H, of input matrix X; the interation number at which a solution was found; the reconstruction error, time taken for rank selection; the seed used for permutation of input data matrix #' @examples result <- opnmfR_ranksel_perm()

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