plotCorrDecay: Plot correlation delay

In GabrielHoffman/decorate: Differential Epigenetic Coregulation Test

Plot correlation delay

Description

Plot correlation delay using subsampling

Usage

plotCorrDecay(
  dfDist,
  method = c("R", "Rsq"),
  xlim = c(10, 1e+06),
  n = 100,
  outlierQuantile = 0.001,
  densityExponent = 0.25
)

Arguments

dfDist	data.frame of distance and correlation from from evaluateCorrDecay()
method	on show either R or Rsq on y-axis
xlim	min and max values for x-axis
n	the number of equally spaced points at which the density is to be estimated.
outlierQuantile	show points if density is less than this quantile
densityExponent	color based on density^densityExponent

Details

Plot correlation versus log10 distance. Sample equal number of points for each bin along the x-axis.

Examples

library(GenomicRanges)
library(ggplot2)

data('decorateData')

# Evaluate hierarchical clustering
treeList = runOrderedClusteringGenome( simData, simLocation ) 

# Evaluate how correlation between features decays with distance
dfDist = evaluateCorrDecay( treeList, simLocation )

# make plot
plotCorrDecay( dfDist )

GabrielHoffman/decorate documentation built on May 23, 2023, 1:29 a.m.