rss.rankplot: Plotting for Frigyesi rank selection method

In richardbeare/pNMF: Projective non-negative matrix factorization

Description

Plotting for Frigyesi rank selection method

Usage

rss.rankplot(orig, random)

Arguments

orig	result of a rank selection run on original data
random	result of a rank selection run on randomised data

Value

a ggplot object

Examples

## Not run: 
  mkD <- function(NOISE=TRUE) {
  n <- 1000 # features
  counts <- c(30, 10, 20, 10, 15, 15) # samples
  syntheticNMF(n=n, r=counts, offset = NULL, noise = NOISE,
               factors = FALSE, seed = 99)
 }
 k<-mkD()
 V.random <- randomize(k)
 aheatmap(V.random)
 estim.r2 <- nmf(k, 2:20, nrun=30)
 estim.r2.random <- nmf(V.random, 2:20, nrun=30)
 rss.rankplot(estim.r2, estim.r2.random)

## End(Not run)

richardbeare/pNMF documentation built on June 30, 2020, 6:33 p.m.