MultiMeasure: MultiMeasure Constructor

In consensus: Cross-platform consensus analysis of genomic measurements via interlaboratory testing method

Description

Creates a MultiMeasure object from a set of 3 or more numeric matrices, in preparation to pass to fitConsensus.

Usage

MultiMeasure(names=NA_character_, data=list())

Arguments

names	character vector contains the names of each data type (e.g. RNA-Seq, Agilent etc.). Must be the same length as data.
data	list of numeric matrices of identical dim, rownames and colnames where each matrix contains the measurements from the platform/condition described in names. Rows of each matrix correspond to genomic features and columns to samples. Must be the same length as, and have order correspond to, names.

Details

A MultiMeasure contains a list of numeric matrices with identical dimensions and matching row names and column names, to which multiple row-linear models can be fit using fitConsensus. Users should pass a vector of names describing the platform/conditions the genomic measurements are made under, and a corresponding list of matrices to the data argument. A series of validity checks will be made on data correctness and a helpful error message will be returned if the structure does not conform to the above description.

Value

a MultiMeasure object

Author(s)

Tim Peters <[e-mail]>

See Also

MultiMeasure-class

Examples

data(TCGA)
tcga_mm <- MultiMeasure(names=c("U133A", "Huex", "Agilent", "RNA-Seq"), 
			data=list(U133A, Huex, Agilent, RNASeq))

consensus documentation built on Nov. 8, 2020, 8:32 p.m.