randConsensusMatrix: Calculate consensus weight matrix based on the permuted input label matrix. Internal function used by `callNCW`

Description

Calculate consensus weight matrix based on the permuted input label matrix. Internal function used by callNCW

Usage

randConsensusMatrix(
  l.seed,
  l.label = label,
  l.ns = ns,
  l.nc = nc,
  l.nv = nv,
  l.index = index,
  l.pair.ind = pair.ind,
  l.ppath = ppath,
  l.plot = plot
)

Value

A character of finished seed.

Write a binary file of 1000 random consensus weight matrix(as a vector n-by-1, n= nrow(l.pair.ind)) with the seed l.seed, output file name: paste0("s",l.seed,"rcw").

Arguments

l.seed: A numerical value to set the random seed for reproducible results, 1000 random label matrix will be generated based on this seed number.
l.label: A matrix or data frame of input labels, columns=different clustering results and rows are samples.
l.ns: A integer value of number of samples, =nrow(l.label)
l.nc: A integer value of number of samples, =ncol(l.label)
l.nv: A integer vector of the number of non missing values for each column in l.label
l.index: A list of index with length of l.nc of non missing values for each column in l.label
l.pair.ind: A n-by-2 index matrix of array indices of upper triangular of l.label with non missing values
l.ppath: A character value for output directory.
l.plot: character value. NULL(default) - print to screen, 'pdf', 'png', 'pngBMP' for bitmap png, helpful for large datasets, or 'pdf'.