getMonteCarloSample-method: getMonteCarloSample

In ggloor/ALDEx_bioc: Analysis Of Differential Abundance Taking Sample and Scale Variation Into Account

getMonteCarloSample

Description

Returns a single Monte Carlo Dirichlet instance for all samples for an aldex.clr object.

Usage

getMonteCarloSample(.object,i)

Arguments

.object	A aldex.clr object containing the log-ratio transformed Monte Carlo Dirichlet instances derived from estimating the technical variance of the raw read count data, along with sample and feature information.
i	The numeric index of the desired Monte-Carlo instance.

Details

Returns the designated Monte Carlo Dirichlet instance for all samples generated from analysis.

Value

A matrix representing the designated log-ratio transformed Monte Carlo Dirichlet instance for all samples.

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)
monteCarloSample <- getMonteCarloSample(x,1)

ggloor/ALDEx_bioc documentation built on Oct. 31, 2023, 1:13 a.m.