filterFeatures: Filter features of input table according to prevalence and/or...

In MMINP: Microbe-Metabolite Interactions-Based Metabolic Profiles Predictor

Filter features of input table according to prevalence and/or abundance

Description

Filter features of input table according to prevalence and/or abundance.

Usage

filterFeatures(x, prev = NA, abund = NA)

Arguments

x	A matrix or data frame.
prev	A numeric ranging from 0 to 1, the minimum prevalence of features to be retained. If set to NA, means no need to filter prevalence.
abund	A numeric greater than 0, the minimum abundance (mean) of features to be retained. If set to NA, means no need to filter abundance.

Value

A filtered feature table will be returned.

Examples

data(train_metag)
d <- filterFeatures(train_metag, prev = 0.8)
dim(train_metag)
dim(d)

MMINP documentation built on July 5, 2022, 1:08 a.m.