plotCompareCW: Plot of original consensus weights vs. normalized consensus...

In ccml: Consensus Clustering for Different Sample Coverage Data

Plot of original consensus weights vs. normalized consensus weights grouping by the number of co-appeared percent of clustering(non-missing).

Description

Plot of original consensus weights vs. normalized consensus weights grouping by the number of co-appeared percent of clustering(non-missing).

Usage

plotCompareCW(title, label, ncw, plot = NULL)

Arguments

title	A character value for output directory.
label	A matrix or data frame of input labels, columns=different clustering results and rows are samples.
ncw	A matrix of normalized consensus weights with sample-by-sample as the order of sample(rows) in label.
plot	character value. NULL(default) - print to screen, 'pdf', 'png', 'pngBMP' for bitmap png, helpful for large datasets, or 'pdf'.

Value

A ggplot point in PDF format with x-axis: original consensus weights; y-axis: normalized consensus weights; color: percent of co-appeared of clustering; size: number of duplicates sample .

Examples

# load data
data(example_data)
label=example_data

# if plot is not NULL, results will be saved in "result_output" directory
title="result_output"


ncw<-callNCW(title=title,label=label,stability=TRUE)
plotCompareCW(title=title,label=label,ncw=ncw)

ccml documentation built on Aug. 30, 2023, 9:07 a.m.