robust_mean: Use a huber type estimator to produce a robust mean

In b-klaus/DChIPRep: DChIPRep - Analysis of chromatin modification ChIP-Seq data with replication

Description

This function uses a Huber type estimator as implemented in the function smhuber from the package https://cran.r-project.org/web/packages/smoothmest/smoothmest. This is used to summarize the profiles across replicates. We provide a wrapper around the original function that catches the case that we want to produce a mean of a single value. It is used in the functions plotProfiles and plotSignificance.

Usage

robust_mean(x)

Arguments

x	a numerical vector

Value

a robust mean of a numerical vector

Examples

data(testData)
robust_mean(counts(testData[, 1]))

x <- rcauchy(10)
robust_mean(x)

b-klaus/DChIPRep documentation built on May 14, 2019, 11:15 a.m.