Learn R Programming

daMA (version 1.44.0)

Efficient design and analysis of factorial two-colour microarray data

Description

This package contains functions for the efficient design of factorial two-colour microarray experiments and for the statistical analysis of factorial microarray data. Statistical details are described in Bretz et al. (2003, submitted)

Copy Link

Version

Version

1.44.0

License

GPL (>= 2)

Maintainer

Jobst Landgrebe

Last Published

February 15th, 2017

Functions in daMA (1.44.0)

cinfoB.AB

Vector indexing the matrix cmatB.AB
data.3x2

3x2 microarray data
designs.basic

Basic designs for two-colour factorial 3 x 2 microarray data
cmatB.AB

Contrast matrix describing the experimental questions
cmat

Contrast matrix describing the experimental questions
id.3x2

A vector of length 30012 containing numeric identifiers of the genes from the microarray dataset data.3x2.
cinfo

Vector indexing the matrix cmat
core

Internal function of analyseMA
designMA

DESIGN OF FACTORIAL MICROARRAY EXPERIMENTS
analyseMA

ANALYSIS OF FACTORIAL MICROARRAY EXPERIMENTS
designs.composite

Composite designs for two-colour factorial 3 x 2 microarray data