filterRareCommon: Filter rare response variables from the data

In nfj1380/mrIML: Multi-Response (Multivariate) Interpretable Machine Learning

Filter rare response variables from the data

Description

Filter rare response variables from the data

Usage

filterRareCommon(X, lower = lower, higher = higher)

Arguments

X	is a data.frame with rows as sites or individuals or populations and columns as loci or species OTUs.
lower	is the lower threshold value in which response varialkes are removed from the data.frame.
higher	is the upper threshold value in which response varialkes are removed from the data.frame.

Details

This function allows you to remove response units (OTUs or SNPs or species) from your response data as a preprocessing step. Suitable when the response is a binary outcome.

Value

A filtered tibble.

Examples

X <- filterRareCommon(Responsedata, lower = 0.4, higher = 0.7)

nfj1380/mrIML documentation built on June 2, 2025, 1:03 a.m.