winsor

input_vector

Winsorization level. Bottom outliers will be set to
(1-winsor_level)/2 quantile and top outliers to (1+winsor_level)/2 quantile.

winsor_level

If TRUE then bottom values are not Winsorized and the lowest
is set to 0.

only_top


Function performs Winsor normalization of a supplied vector. Steps:
1. Calcualate top winsor value [(1+winsor_level)/2 quantile], and bottom
winsor value ((1-winsor_level)/2 quantile)
2. Each value below bottom winsor value set to bottom winsor value; each
value above top winsor value set to top winsor value
3. Transform linearly all the values to [0,1] range


~winsorising

This package facilitates analysis of Next Generation Sequencing
data for which positional information with a single nucleotide resolution
is a key. It allows for applying different types of relevant
normalizations, data visualization and export in a table or UCSC
compatible bedgraph file.

Nikos Sidiropoulos

RNAprobR

An R package for analysis of massive parallel sequencing based RNA
structure probing data

winsor function

Function performs Winsor normalization of a supplied vector. Steps:
1. Calcualate top winsor value [(1+winsor_level)/2 quantile], and bottom
winsor value ((1-winsor_level)/2 quantile)
2. Each value below bottom winsor value set to bottom winsor value; each
value above top winsor value set to top winsor value
3. Transform linearly all the values to [0,1] range

winsor: Winsor normalization with fitting to <0,1> range.

Description

Usage

Arguments

Value

References

Examples