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

Description Usage Arguments Details Value See Also Examples

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

1	getFeatureNames(.object)

.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.

Returns the names of the keys that can be used to subset the data rows. The keys values are the rsid's.

A vector of feature names.

aldex.clr

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)
featureNames <- getFeatureNames(x)