\name{spectralWilcox}
\alias{spectralWilcox}
\title{Extract significant features from a MAIT object}
\description{
Function spectralWilcox takes an \code{\link{MAIT-class}} object and obtains which of the variables are significant given a p-value threshold following a Mann-Witney-Wilcoxon test. The parameters of the significant features can ve printed to an output table (TRUE by default).
}
\usage{

spectralWilcox(MAIT.object = NULL, 
              pvalue = 0.05, 
              p.adj="none",
              printCSVfile = TRUE,
              jitter = FALSE,
              jitter.factor = 1,
              jitter.amount = 0)
}
\arguments{
  \item{MAIT.object}{
A \link{MAIT-class} object where function \link{peakAggregation} has already been applied. The output of the function is going to be an update of the same \link{MAIT-class} object.
}
  \item{pvalue}{
P-value threshold. Variables having a p-value lower than this value is considered as a significant variable.
}

  \item{p.adj}{
Post-hoc method to be used to correct the p-values.
}

  \item{printCSVfile}{
Set to TRUE if an output table has to be produced. See function \link{sigPeaksTable} for more information.
}

  \item{jitter}{
If it is set to TRUE, a jitter noise is added to the data. This is useful when applying Mann-Whitney tests with ties.
}

  \item{jitter.factor}{
See argument factor of the function \link{jitter}.
}

  \item{jitter.amount}{
See argument amount of the function \link{jitter}.
}


}
\value{
  A \link{MAIT-class} object containing the significant features of the scores slot of \link{MAIT-class} object used as an input.
}
\seealso{
  \code{\link{MAIT-class}} \code{\link{peakAggregation}} \code{\link{sigPeaksTable}}
}
\author{Francesc Fernandez,
 \email{[email protected]}}
\keyword{internal}