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#' Converts a network object (unipartite) to a two-mode (bipartite) network
#' representation.
#'
#' Bipartite network approaches are often used for analyzing the
#' structure of interactions among species in communities. Although
#' typically ecosystem networks are handled using a unipartite
#' representation, anlayzing them from a bipartite perspective may be
#' informative. This function provides an easy means for converting to
#' a bipartite representation as long as there is a natural division
#' to categorize species into distinct modes.
#'
#' @param x A network object.
#' @param y A vector of membership values.
#' @return Returns a matrix with the species of one mode arrayed in rows and
#' the other in columns.
#' @author Matthew K. Lau
#' @examples
#'
#' data(oyster)
#' as.bipartite(oyster, gl(2, 3))
#'
#' @export as.bipartite
as.bipartite <- function(x = 'network object',y = 'membership vector'){
y <- factor(y)
unpack(x)$F[y == levels(y)[1],y == levels(y)[2]]
}
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