labelCuts: Creates labels based on a discretization definition.

In databio/GenomicDistributions: GenomicDistributions: fast analysis of genomic intervals with Bioconductor

Creates labels based on a discretization definition.

Description

If you are building a histogram of binned values, you want to have labels for your bins that correspond to the ranges you used to bin. This function takes the breakpoints that define your bins and produces nice-looking labels for your histogram plot.

Usage

labelCuts(
  breakPoints,
  round_digits = 1,
  signif_digits = 3,
  collapse = "-",
  infBins = FALSE
)

Arguments

breakPoints	The exact values you want as boundaries for your bins
round_digits	Number of digits to cut round labels to.
signif_digits	Number of significant digits to specify.
collapse	Character to separate the labels
infBins	use >/< as labels on the edge bins

Details

labelCuts will take a cut group, (e.g., a quantile division of some signal), and give you clean labels (similar to the cut method).

Value

A vector of histogram axis labels.

databio/GenomicDistributions documentation built on April 30, 2024, 4:34 a.m.