% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/metabarcoding_threshold.R
\docType{methods}
\name{marginalsum,metabarcoding.data-method}
\alias{marginalsum,metabarcoding.data-method}
\alias{marginalsum-methods,metabarcoding.data}
\title{Computes marginal sums over read counts.}
\usage{
\S4method{marginalsum}{metabarcoding.data}(data, MARGIN = "sample",
  na.rm = FALSE)
}
\arguments{
\item{data}{The \code{\linkS4class{metabarcoding.data}} instance
on which marginal sums have to be computed.}

\item{MARGIN}{Indicates if the sums have to be computed across 
samples or motus. 
Allowed values are :
\itemize{
  \item{'sample' or 1} for computing sum across samples
  \item{'motu' or 2} for computing sum across motus
  }}

\item{na.rm}{Logical. Should missing values be omitted from the 
calculations?}
}
\value{
Returns the vector of marginal sums as a \code{numeric} vector
}
\description{
Method \code{marginalsum} computes marginal sums over read counts of
a \code{\link{metabarcoding.data}} instance.
}
\examples{
# load termite data set from the ROBITools sample data
data(termes)

# Computes marginal sums per sample
ssum = marginalsum(termes,MARGIN="sample")

# Computes marginal sums per MOTU
msum = marginalsum(termes,MARGIN="motu")

}
\seealso{
\code{\linkS4class{metabarcoding.data}}
}
\author{
Aurelie Bonin
}