plotQC: Plot the correlation change of the QC samples.

Description Usage Arguments Value Author(s) Examples

Description

Plot the correlation change of the QC samples.

Usage

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plotQC(para, valueID = "valueNorm", step = 4, log = TRUE, width = 8,
  height = 4, ...)

Arguments

para

A metaXpara object

valueID

The name of the column that used for plot

step

The step value of calculate the cor of the samples. Default is 4.

log

A logical indicating whether to log the data

width

The width of the graphics region in inches. The default values are 8.

height

The height of the graphics region in inches. The default values are 4.

...

Additional parameter

Value

none

Author(s)

Bo Wen wenbo@genomics.cn

Examples

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para <- new("metaXpara")
pfile <- system.file("extdata/MTBLS79.txt",package = "metaX")
sfile <- system.file("extdata/MTBLS79_sampleList.txt",package = "metaX")
rawPeaks(para) <- read.delim(pfile,check.names = FALSE)
sampleListFile(para) <- sfile
para <- reSetPeaksData(para)
para <- missingValueImpute(para)
plotQC(para,valueID="value")

metaX documentation built on Oct. 5, 2016, 4:41 a.m.

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