norm.rrank-methods: Relative rank normalization function

In demi: Differential Expression from Multiple Indicators

Description

The function norm.rank normalizes the raw expression matrix by relative ranking. It is used internally in DEMI analysis.

Usage

norm.rrank(object)

## S4 method for signature 'matrix'
norm.rrank(object)

## S4 method for signature 'numeric'
norm.rrank(object)

Arguments

object

A matrix or numeric. The raw expression matrix or a single expression vector.

Value

A data.frame representing the normalized expression matrix.

Author(s)

Sten Ilmjarv

Examples

## Not run: 

# Create a matrix with 1000 values that represents raw expression values
rawmatrix <- matrix(rexp(1000, rate=1), ncol=8)

# Normalize the raw expression matrix
normmatrix <- norm.rrank( rawmatrix )


## End(Not run)

demi documentation built on May 2, 2019, 11:11 a.m.