mttest: mttest

In shihuang047/crossRanger: Cross-Application of Ranger Models using microbiome data

mttest

Description

Perform the univariate test for all features in the compositional microbiome data.

Usage

mttest(x, y, p.adj.method = "bonferroni", paired = FALSE)

Arguments

x	A data.martrix or data.frame including multiple numeric vectors.
y	A factor with two or more levels.
p.adj.method	A string indicating the p-value correction method.
paired	A logical indicating if paired between-group comparison is desired.

Author(s)

Shi Huang

Examples

y <-factor(c(rep("A", 30), rep("B", 30)))
y <-factor(c(rep("A", 15), rep("B", 15), rep("C", 15), rep("D", 15)))
x <- data.frame(rbind(t(rmultinom(7, 75, c(.201,.5,.02,.18,.099))),
            t(rmultinom(8, 75, c(.201,.4,.12,.18,.099))),
            t(rmultinom(15, 75, c(.011,.3,.22,.18,.289))),
            t(rmultinom(15, 75, c(.091,.2,.32,.18,.209))),
            t(rmultinom(15, 75, c(.001,.1,.42,.18,.299)))))
mttest(x, y, clr_transform=FALSE)
mttest(x, y, clr_transform=TRUE)

shihuang047/crossRanger documentation built on Feb. 7, 2023, 10:03 p.m.