Last data update: 2014.03.03

R: Plot estimated squared coefficient of variation
plotSCVEstsR Documentation

Plot estimated squared coefficient of variation

Description

Plot estimated SCV based on ggplot2

Usage

plotSCVEsts(XB, name = NULL, ymin, linecol = "red3", 
   xlab = "mean of normalized counts", ylab = "SCV")

Arguments

XB

A XBSeqDataSet object

name

The name of the fit information. Only specify this if you choose method="per-condition"

ymin

The limit of y axis

linecol

The linecolour of the SCV-mean trend

xlab

The lable of x axis

ylab

The lable of y axis

Value

Summary plot for the fitting and estimation of scv

Author(s)

Yuanhang Liu

References

H. I. Chen, Y. Liu, Y. Zou, Z. Lai, D. Sarkar, Y. Huang, et al., "Differential expression analysis of RNA sequencing data by incorporating non-exonic mapped reads," BMC Genomics, vol. 16 Suppl 7, p. S14, Jun 11 2015.

See Also

estimateSCV

Examples

   conditions <- factor(c(rep('C1', 3), rep('C2', 3)))
   data(ExampleData)
   XB <- XBSeqDataSet(Observed, Background, conditions)
   XB <- estimateRealCount(XB)
   XB <- estimateSizeFactors(XB)
   XB <- estimateSCV(XB, fitType='local')
   plotSCVEsts(XB)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(XBSeq)
Loading required package: DESeq2
Loading required package: S4Vectors
Loading required package: stats4
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


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: 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")'.

    Welcome to 'XBSeq'.
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/XBSeq/plotSCVEsts.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plotSCVEsts
> ### Title: Plot estimated squared coefficient of variation
> ### Aliases: plotSCVEsts
> 
> ### ** Examples
> 
>    conditions <- factor(c(rep('C1', 3), rep('C2', 3)))
>    data(ExampleData)
>    XB <- XBSeqDataSet(Observed, Background, conditions)
>    XB <- estimateRealCount(XB)
>    XB <- estimateSizeFactors(XB)
>    XB <- estimateSCV(XB, fitType='local')
>    plotSCVEsts(XB)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>