plotnD: Create a 2D plot for multi-dimensional clustering

In Wedge-Oxford/dpclust: DPClust - An R package for subclonal reconstruction of tumours using sequencing data

Create a 2D plot for multi-dimensional clustering

Description

Create a 2D plot for multi-dimensional clustering

Usage

plotnD(xvals, yvals, zvals, subclonal.fraction_x, subclonal.fraction_y,
  pngFile, samplename_x, samplename_y, max.plotted.value = NA,
  cluster.locations = NULL, plot_mutations = F)

Arguments

xvals	Density coordinates of the x-axis
yvals	Density coordinates of the y-axis
zvals	The density itself
subclonal.fraction_x	Fraction of cells estimate for each mutation in sample on x-axis
subclonal.fraction_y	Fraction of cells estimate for each mutation in sample on y-axis
pngFile	Filename to which the figure should be pushed
samplename_x	Samplename to assign as x-axis label
samplename_y	Samplename to assign as y-axis label
max.plotted.value	The maximum value to plot on both x- and y-axis (Default: NA)
cluster.locations	Locations of clusters to be overlayed (Default: NULL)
plot.mutations	Boolean, supply TRUE when mutations should be overlayed on top of the density (Default: FALSE)

Author(s)

dw9

Wedge-Oxford/dpclust documentation built on July 6, 2024, 2:02 p.m.