winsorNorm: winsorNorm

In sjessa/chromswitch: An R package to detect chromatin state switches from epigenomic data

winsorNorm

Description

Normalize a numeric vector by rescaling and Winsorizing, i.e. rescale the middle of the data to the range [0, 1] and bound the upper tail to 1 and the lower tail to 0, effectively replacing a fixed amount of extreme values in each tail. Similar to trimming the tails except instead of discarding the tails entirely they're bounded.

Usage

winsorNorm(x, trim)

Arguments

x	A numeric vector, the data to be normalized
trim	Numeric, a fraction in [0, 1] specifying how much of the data to bound to 0 (for the lower tail) or 1 (for the upper tail)

Value

Numeric vector

Examples

x <- seq(1, 100, by = 1)
x

# Bound the lower and upper 5% of values in the vector
winsorNorm(x, trim = 0.05)

sjessa/chromswitch documentation built on Feb. 4, 2024, 2:04 a.m.