plotQC: Plot the correlation change of the QC samples.

In wenbostar/metaX: A flexible and comprehensive software for processing omics data.

Plot the correlation change of the QC samples.

Description

Plot the correlation change of the QC samples.

Usage

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 [e-mail]

Examples

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")

wenbostar/metaX documentation built on July 4, 2023, 7:50 p.m.