normalize: Global normalization of count data

In countdata: The Beta-Binomial Test for Count Data

Global normalization of count data

Description

Normalize a numerical matrix by scaling each column so that the scaled column sums are equal.

Usage

normalize(d)

Arguments

d	A numerical matrix.

Details

The average of column sums is computed. A scaling factor is calculated for each colunm so that the scaled column sum is equal to the computed average value.

Value

A matrix of the same size as d is returned. The column sums of this matrix are equal.

Author(s)

Thang V. Pham

References

Pham TV (2021). countdata: The Beta-Binomial Test for Count Data. R package version 1.1. https://CRAN.R-project.org/package=countdata

Examples

d <- rbind(c(2.5, 11.2, 7.2),
           c(9.1, 2.2, 7.1))

colSums(d)
# 11.6 13.4 14.3

colSums(normalize(d))
# 13.1 13.1 13.1

countdata documentation built on March 31, 2023, 7:58 p.m.