Last data update: 2014.03.03

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

## 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

 `input_vector` Vector with values to be Winsorized `winsor_level` Winsorization level. Bottom outliers will be set to (1-winsor_level)/2 quantile and top outliers to (1+winsor_level)/2 quantile. `only_top` If TRUE then bottom values are not Winsorized and the lowest is set to 0.

### 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)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(RNAprobR)

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':

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

Attaching package: 'S4Vectors'

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

colMeans, colSums, expand.grid, rowMeans, rowSums

Welcome to Bioconductor

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

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
>

```