\name{multiapply}
\alias{multiapply}
\title{Apply a function to two arrays}
\description{
  \code{multiapply} allows to apply functions row wise or column wise to two arrays.
}
\usage{
multiapply(a,b,MARGIN,FUN,...)
}
\arguments{
  \item{a}{An array  wich rows or columns should be submitted to the function.}
  \item{b}{An array  wich rows or columns should be submitted to the function, the argument a will be passed as first argument to the function while the argument b will be passed as the second one.}
  \item{MARGIN}{Like the MARGIN argument in the \code{apply} function, 1 means submit the rows to the function, 2 the columns.}
  \item{FUN}{The function that should be applied. Any function that needs two input parameters.}
  \item{...}{Additional parameters for the function FUN.}
}
\details{
Like the \code{apply} function this function can be used to apply functions to the rows or columns of a matrix, without having to write \code{for} loops. If the result of the function FUN is numeric or a character the function returns an array containing the results, otherwise a list with the output of the function FUN.}
\references{}
\author{Johannes Rainer}

\seealso{
 \code{\link{apply}}
}

\examples{
## creating two arrays
a <- matrix(ncol=3,nrow=3)
a[1,] <- c(1,2,2)
a[2,] <- c(3,2,3)
a[3,] <- c(2,2,2)
b <- matrix(ncol=5,nrow=3)
b[1,] <- c(8,8,6,8,10)
b[2,] <- c(2,3,3,2,3)
b[3,] <- c(1,1,1,1,2)

## now we perform a wilcox unpaired test for each row.
multiapply(a=a,b=b,MARGIN=1,FUN=wilcox.test,paired=FALSE)
}

\keyword{utilities}