getMonteCarloInstances-method: getMonteCarloInstances

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

getMonteCarloInstances

Description

Returns a list of the log-ratio transformed Monte Carlo Dirichlet instances created by the aldex.clr function.

Usage

getMonteCarloInstances(.object)

Arguments

.object

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

Details

Returns a list of the log-ratio transformed Monte Carlo Dirichlet instances created by the aldex.clr function.

Value

A list of data frames.

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)

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