Last data update: 2014.03.03

R: plot distribution in given ranges
featureAlignedDistributionR Documentation

plot distribution in given ranges

Description

plot distribution in the given feature ranges

Usage

featureAlignedDistribution(cvglists, feature.gr, 
                           upstream, downstream, 
                           n.tile=100, zeroAt, ...)

Arguments

cvglists

Output of featureAlignedSignal or a list of SimpleRleList or RleList

feature.gr

An object of GRanges with identical width. If the width equal to 1, you can use upstream and downstream to set the range for plot. If the width not equal to 1, you can use zeroAt to set the zero point of the heatmap.

upstream, downstream

upstream or dwonstream from the feature.gr.

zeroAt

zero point position of feature.gr

n.tile

The number of tiles to generate for each element of feature.gr, default is 100

...

any paramters could be used by matplot

Value

invisible matrix of the plot.

Author(s)

Jianhong Ou

See Also

See Also as featureAlignedSignal, featureAlignedHeatmap

Examples

  cvglists <- list(A=RleList(chr1=Rle(sample.int(5000, 100), 
                                      sample.int(300, 100))), 
                   B=RleList(chr1=Rle(sample.int(5000, 100), 
                                      sample.int(300, 100))))
  feature.gr <- GRanges("chr1", IRanges(seq(1, 4900, 100), width=100))
  featureAlignedDistribution(cvglists, feature.gr, zeroAt=50, type="l")

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(ChIPpeakAnno)
Loading required package: grid
Loading required package: IRanges
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: Biostrings
Loading required package: XVector
Loading required package: GenomicRanges
Loading required package: GenomeInfoDb
Loading required package: VennDiagram
Loading required package: futile.logger

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/ChIPpeakAnno/featureAlignedDistribution.Rd_%03d_medium.png", width=480, height=480)
> ### Name: featureAlignedDistribution
> ### Title: plot distribution in given ranges
> ### Aliases: featureAlignedDistribution
> ### Keywords: misc
> 
> ### ** Examples
> 
>   cvglists <- list(A=RleList(chr1=Rle(sample.int(5000, 100), 
+                                       sample.int(300, 100))), 
+                    B=RleList(chr1=Rle(sample.int(5000, 100), 
+                                       sample.int(300, 100))))
>   feature.gr <- GRanges("chr1", IRanges(seq(1, 4900, 100), width=100))
>   featureAlignedDistribution(cvglists, feature.gr, zeroAt=50, type="l")
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>