getMonteCarloInstances-method: getMonteCarloInstances

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

Description

Returns the Monte Carlo Dirochlet instances used to create an aldex.clr object.

Usage

getMonteCarloInstances(.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 Monte Carlo Dirochlet instances used to create an aldex.clr object.

Value

A list of data frames of Monte Carlo Dirochlet instances derived from estimating the technical variance of the raw read count data.

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)
monteCarloInstances <- getMonteCarloInstances(x)

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