RF.Anal: Performs Random Forest Analysis

In xia-lab/MicrobiomeAnalystR: MicrobiomeAnalystR - A comprehensive R package for statistical, visual, and functional analysis of the microbiome.

Performs Random Forest Analysis

Description

This functions performs the Random Forest (RF) analysis.

Usage

RF.Anal(mbSetObj, treeNum, tryNum, randomOn, variable, taxrank)

Arguments

mbSetObj	Input the name of the mbSetObj. By default, the name should be mbSet.
treeNum	Numeric, input the number of trees to grow.
tryNum	Numeric, input the number of predictors to try.
randomOn	Randomness setting. 1 is on, 0 is off.
variable	Character, input the experimental factor for classification.
taxrank	Character, input the taxonomic level to perform classification. For instance, "OTU-level" to use OTUs.
datatype	Character, "16S" if performing RF on 16S rRNA marker gene data and "metageno" if performing RF on shotgun metagenomic data.

Author(s)

Jeff Xia [e-mail] McGill University, Canada License: GNU GPL (>= 2)

xia-lab/MicrobiomeAnalystR documentation built on April 17, 2024, 7:45 p.m.