getFeatures-method: getFeatures

In ALDEx2: Analysis Of Differential Abundance Taking Sample Variation Into Account

Description

Returns the features as a vector, for an aldex.clr object.

Usage

getFeatures(.object)

Arguments

.object

A aldex.clr object containing the Monte Carlo Dirochlet instances derived from estimating the technical variance of the raw read count data, along with sample and feature information.

Details

Returns the features as a vector, for an aldex.clr object.

Value

A vector of features.

See Also

aldex.clr

Examples

data(selex)
    #subset for efficiency
    selex <- selex[1201:1600,]
conds <- c(rep("NS", 7), rep("S", 7))
x <- aldex.clr(selex, conds, mc.samples = 2, denom="all", verbose = FALSE)
features <- getFeatures(x)

ALDEx2 documentation built on Nov. 8, 2020, 8:05 p.m.