Last data update: 2014.03.03

R: Find peaks with extreme count values
findOutliersR Documentation

Find peaks with extreme count values

Description

findOutliers uses the function boxplot to determine outlier peaks with extreme high total counts in each sample.

Usage

findOutliers(DBA, range = 20, draw.on=TRUE)

Arguments

DBA

DBA object, after running getPeakProfiles.

range

This parameter specifies what is classified as an outlier. Non-outliers extend to the most extreme data point which is no more than 'range' times the inter-quartile range from the box in boxplot. (In the function boxplot, range determines how far the plot whiskers extend out from the box.

draw.on

If TRUE, histograms and box plots are plotted for quality control.

Value

DBA object, with additional list element Filter added to MD.

Author(s)

Gabriele Schweikert

See Also

getPeakProfiles, boxplot

Examples

data(Cfp1Profiles)
Cfp1 <- findOutliers(Cfp1Profiles, range=20)
Filter <- Cfp1$MD$Filter


Cfp1Strict <- findOutliers(Cfp1Profiles, range=10)
OutlierPeakIDs <- Cfp1Strict$MD$Filter$HighPeakIds

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(MMDiff)
Loading required package: GenomicRanges
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: DiffBind
Loading required package: SummarizedExperiment
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: GMD
Loading required package: Rsamtools
Loading required package: Biostrings
Loading required package: XVector
Warning message:
Package 'MMDiff' is deprecated and will be removed from Bioconductor
  version 3.4 
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/MMDiff/findOutliers.Rd_%03d_medium.png", width=480, height=480)
> ### Name: findOutliers
> ### Title: Find peaks with extreme count values
> ### Aliases: findOutliers
> 
> ### ** Examples
> 
> data(Cfp1Profiles)
> Cfp1 <- findOutliers(Cfp1Profiles, range=20)
Error in dev.new() : no suitable unused file name for pdf()
Calls: findOutliers -> dev.new
Execution halted