maQualityPlots: Qualitative diagnostic plot for general hybridization

In arrayQuality: Assessing array quality on spotted arrays

Description

This function generates diagnostic plots for a qualitative assessment of slide quality.

Usage

maQualityPlots(mrawObj, headerInfo = "", save = TRUE, dev = "png", col=NULL,
badspotfunction=NULL, controlId = c("ID", "Name"), DEBUG = FALSE, ...)

Arguments

mrawObj	marrayRaw or RGList object representing the slides to be tested.
headerInfo	Text to be used as header in the diagnostic plot.
save	Logical. If 'TRUE', the plot is saved to a file.
dev	A "character" string naming the graphics device. This will take arguments "png", "jpeg" and "ps" only. By default, dev is set to "png".
col	Vector of colors to use to describe different categories of spots.
badspotfunction	Function to use for bad spots on the array.
controlId	Character string. Name of the column of the gpr file used to define controls (or provides the name of the probes).
DEBUG	If 'TRUE', debug statements are printed.
...	additional arguments

Author(s)

Jean Yang

Examples

# Example uses swirl dataset...

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