Last data update: 2014.03.03

R: Plot coverage on a small interval.
coverageplotR Documentation

Plot coverage on a small interval.

Description

A function that plots one or two coverage vectors over a relatively small interval in the genome.

Usage

coverageplot(peaks1, peaks2 = NULL, i = 1,
             xlab = "Position", ylab = "Coverage",
             opposite = TRUE, ...)

Arguments

peaks1, peaks2

A set of peaks as described by ranges over a coverage vector.

i

Which peak to use.

xlab, ylab

Axis labels.

opposite

Logical specifying whether the two peaks should be plotted on opposite sides (appropriate for positive and negative strand peaks).

...

extra arguments.

Author(s)

Deepayan Sarkar

Examples

cov <- Rle(c(1:10, seq(10, 1, -2), seq(1,5,2), 4:1), rep(1:2, 11))
peaks <- slice(cov, 3)
peaks.cov <- Views(cov, ranges(peaks))
peaks.cov.rev <- rev(peaks.cov)
coverageplot(peaks.cov, peaks.cov.rev, ylab = "Example")

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.
Type 'contributors()' for more information and
'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(chipseq)
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: GenomicRanges
Loading required package: GenomeInfoDb
Loading required package: ShortRead
Loading required package: BiocParallel
Loading required package: Biostrings
Loading required package: XVector
Loading required package: Rsamtools
Loading required package: GenomicAlignments
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")'.

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/chipseq/coverageplot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: coverageplot
> ### Title: Plot coverage on a small interval.
> ### Aliases: coverageplot
> ### Keywords: hplot
> 
> ### ** Examples
> 
> cov <- Rle(c(1:10, seq(10, 1, -2), seq(1,5,2), 4:1), rep(1:2, 11))
> peaks <- slice(cov, 3)
> peaks.cov <- Views(cov, ranges(peaks))
> peaks.cov.rev <- rev(peaks.cov)
> coverageplot(peaks.cov, peaks.cov.rev, ylab = "Example")
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>