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  \item{\dots}{optionally, further arguments to \code{FUN}.}
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  \item{\dots}{optionally, further arguments to \code{FUN}.}
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}
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}
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\value{
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\value{
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  a \code{\link{list}} or \code{\link{array}}, see the \code{simplify}
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  a \code{\link{list}} or \code{\link{array}}, see the \code{simplify}
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  argument above.  In the latter case, the identity
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  argument above.  In the latter case, the identity
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  \code{dim(combn(n,m)) == c(m, choose(n,m))} holds.
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  \code{dim(combn(n, m)) == c(m, choose(n, m))} holds.
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}
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}
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\references{
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\references{
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  Nijenhuis, A. and Wilf, H.S. (1978)
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  Nijenhuis, A. and Wilf, H.S. (1978)
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  \emph{Combinatorial Algorithms for Computers and Calculators};
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  \emph{Combinatorial Algorithms for Computers and Calculators};
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  Academic Press, NY.
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  Academic Press, NY.
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  all combinations of factors or vectors.
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  all combinations of factors or vectors.
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}
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}
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\examples{
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\examples{
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combn(letters[1:4], 2)
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combn(letters[1:4], 2)
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(m <- combn(10, 5, min))   # minimum value in each combination
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(m <- combn(10, 5, min))   # minimum value in each combination
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mm <- combn(15, 6, function(x) matrix(x, 2,3))
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mm <- combn(15, 6, function(x) matrix(x, 2, 3))
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stopifnot(round(choose(10,5)) == length(m),
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stopifnot(round(choose(10, 5)) == length(m),
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          c(2,3, round(choose(15,6))) == dim(mm))
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          c(2,3, round(choose(15, 6))) == dim(mm))
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## Different way of encoding points:
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## Different way of encoding points:
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combn(c(1,1,1,1,2,2,2,3,3,4), 3, tabulate, nbins = 4)
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combn(c(1,1,1,1,2,2,2,3,3,4), 3, tabulate, nbins = 4)
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## Compute support points and (scaled) probabilities for a
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## Compute support points and (scaled) probabilities for a