% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/MixMC.R
\name{normalise.tss}
\alias{normalise.tss}
\title{Apply Total Sum Scaling normalisation}
\usage{
normalise.tss(otu.counts, offset = 0)
}
\arguments{
\item{otu.counts}{OTU count data frame of size n (sample) x p (OTU).}

\item{offset}{Offset to apply, defaulting to zero.}
}
\value{
Data frame containing count data normalised as proportion of total
sample counts.
}
\description{
Apply Total Sum Scaling (TSS) normalisation to count data, to account for
differences in count (e.g. sequencing) depths between samples. Giving
proportion of total sample counts, this is the conventional way of
normalising OTU count data. Optionally include an offset to avoid
division/log zero problems - this defaults to zero, but 1 (count) is usually
appropriate for any count data with totals of thousands of counts or more.
}
\examples{
\dontrun{
normalise.tss(otu.count, offset=1)
}
}