desc_stats_all: desc_stats_all

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

desc_stats_all

Description

The descriptive statistics summary of all features of compositional microbiome data.

Usage

desc_stats_all(x, y, positive_class = NA, clr_transform = FALSE)

Arguments

x	A data.martrix or data.frame including multiple numeric vectors.
y	A factor with two or more levels.
positive_class	A string indicating the specified class in the factor y. The positive class should be specified in the case-control design.
clr_transform	A logical value indicates if clr transformation before statistical analysis of compositional microbiome data.

Author(s)

Shi Huang

Examples

y <-factor(c(rep("A", 30), rep("B", 30)))
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)))))
desc_stats_all(x, y, clr_transform=FALSE)
desc_stats_all(x, y, clr_transform=TRUE)

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