PRvQCHyb: Print run Quality version Quality Control Hybridization

In arrayQuality: Assessing array quality on spotted arrays

Description

Qualitative diagnostic plots looking at print-run quality. This component examine the QC hybridizations.

Usage

PRvQCHyb(fnames, path=".", dev = "png", DEBUG=FALSE, prargs=NULL, samepr=TRUE, prname="xMm", save = TRUE, col,...)

Arguments

fnames	A "character" string naming the input files.
path	a character string representing the data directory. By default this is set to the current working directory (".").
dev	A "character" string naming the graphics device. This will take arguments "png", "jpeg" and "ps" only.
DEBUG	If 'TRUE', debug statements are printed.
prargs	A list with 4 components: Block, Row, Column and ncolumns. See Details for more information.
samepr	If 'TRUE', we assume everything in the directory are from the same print-run.
prname	A "character" string giving the name of the print-run.
save	If ‘TRUE’, the figures will be saved to files.
col	color code for different control samples.
...	additional arguments.

Details

The argument "prargs" is used to calculate the layout information about a print-run. Components Block, Row and Columns denote the column names from the input data representing the print-tip location. The component "ncolumns" is an integer representing the number of print-tip columns in the data. If the arguement is set to NULL, the the following default will be used. list(Block="Block", Row="Row", Column="Column", ncolumns=4)

Value

Files of diagnostic plots.

Author(s)

Jean Yee Hwa Yang

Examples

datadir <- system.file("gprQCData", package="arrayQuality")
if (interactive())
PRvQCHyb(fnames="9Mm137.gpr", path=datadir, prname="9Mm")

arrayQuality documentation built on Nov. 8, 2020, 5:12 p.m.