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

Description

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

Usage

winsor(input_vector, winsor_level = 0.9, only_top = FALSE)

Arguments

Value

Vector of numerics within <0,1>.

Author(s)

Lukasz Jan Kielpinski

References

Hastings, Cecil; Mosteller, Frederick; Tukey, John W.; Winsor, Charles P. Low Moments for Small Samples: A Comparative Study of Order Statistics. The Annals of Mathematical Statistics 18 (1947), no. 3, 413–426.

Examples

data_set <- runif(1:100)*100
plot(winsor(data_set, winsor_level=0.8) ~ data_set)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(RNAprobR)
Loading required package: GenomicFeatures
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
    get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
    match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
    rbind, rownames, sapply, setdiff, sort, table, tapply, union,
    unique, unsplit

Loading required package: S4Vectors
Loading required package: stats4

Attaching package: 'S4Vectors'

The following objects are masked from 'package:base':

    colMeans, colSums, expand.grid, rowMeans, rowSums

Loading required package: IRanges
Loading required package: GenomeInfoDb
Loading required package: GenomicRanges
Loading required package: AnnotationDbi
Loading required package: Biobase
Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

Loading required package: plyr

Attaching package: 'plyr'

The following object is masked from 'package:IRanges':

    desc

The following object is masked from 'package:S4Vectors':

    rename

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/RNAprobR/winsor.Rd_%03d_medium.png", width=480, height=480)
> ### Name: winsor
> ### Title: Winsor normalization with fitting to <0,1> range.
> ### Aliases: winsor
> ### Keywords: ~winsorising
> 
> ### ** Examples
> 
> data_set <- runif(1:100)*100
> plot(winsor(data_set, winsor_level=0.8) ~ data_set)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>