Plot quantile-trimmed histogram — plotQTHist • GenomicDistributions

Given the results from calcWidth, plots a histogram with outliers trimmed.

plotQTHist(
  x,
  EndBarColor = "gray57",
  MiddleBarColor = "gray27",
  quantThresh = NULL,
  bins = NULL,
  indep = FALSE,
  numbers = FALSE
)

Arguments

x: Data values to plot - vector or list of vectors
EndBarColor: Color for the quantile bars on both ends of the graph (optional)
MiddleBarColor: Color for the bars in the middle of the graph (optional)
quantThresh: Quantile of data to be contained in each end bar (optional) quantThresh values must be under .2, optimal size is under .1
bins: The number of bins for the histogram to allocate data to. (optional)
indep: logical value which returns a list of plots that have had their bins calculated independently; the normal version will plot them on the same x and y axis.
numbers: a logical indicating whether the raw numbers should be displayed, rather than percentages (optional).

A ggplot2 plot object

x-axis breaks for the frequency calculations are based on the "divisions" results from helper function calcDivisions.

regWidths = calcWidth(vistaEnhancers)
qtHist = plotQTHist(regWidths)
qtHist2 = plotQTHist(regWidths, quantThresh=0.1)