rntransform: Rank-based inverse normal tranformation

In biobakery/melonnpan: Model-based Genomically Informed High-dimensional Predictor of Microbial Community Metabolite Profiles

Rank-based inverse normal tranformation

Description

This function rank normal transforms a vector of data. The procedure is built off of that provided in the GenABEL pacakge.

Usage

rntransform(y, split_ties = FALSE)

Arguments

y	a numeric vector which will be rank normal transformed
split_ties	a binary string of FALSE (default) or TRUE indicating if tied values, of the same rank, should be randomly split giving them unique ranks.

Value

returns a numeric vector, with the same length as y, of rank normal transformed values

Examples

## simulate a negative binomial distribution of values
nb_data = rnbinom(500, mu = 40, size = 100)
## rank normal transform those values
rnt_data = rntransform( nb_data , split_ties = TRUE )

biobakery/melonnpan documentation built on March 26, 2024, 11:42 p.m.