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+\name{readA}

+\alias{readA}

+\title{read A}

+\usage{

+  readA(Afile, datfile, dat, annot = TRUE)

+}

+\arguments{

+  \item{Afile}{The file which contains the matrix of sample

+  contributions. It must be a txt file where the separator

+  is \code{white space}, that is one or more spaces, tabs,

+  newlines or carriage returns}

+

+  \item{datfile}{The file which contains the matrix (of

+  dimension features x samples) based on which the matrix A

+  was calculated}

+

+  \item{dat}{The data based on which the matrix A was

+  calculated (features x samples)}

+

+  \item{annot}{TRUE (default) if the Afile contains

+  rownames of matrix A, FALSE if the rownames has to be

+  extracted from dat}

+}

+\value{

+  This function returns a matrix of dimension samples x

+  components with rownames filled with sample IDs.

+}

+\description{

+  readA

+}

+\details{

+  This function reads and annotates matrix A.

+

+  The matrix dat must be the one on which the matrix A was

+  calculated. It is assumed that the number of components

+  is lower than the number of samples, the matrix will be

+  transposed to have dimension 'samples x components'

+  according to this assumption. If \code{annot} is FALSE,

+  colnames of dat are used to annotate rownames of A.

+}

+\author{

+  Anne Biton

+}

+\keyword{internal}

+