#' @title Sample clusters from adjacence matrix
#'
#' @description Desc
#'
#' @param adj Adjazenzmatrix
#' @param size Size of clusters (number of links)
#' @param n Number of clusters
#' @param maxTry numbers of random tries to establish clusters
#' @param starTopo create star topology
#' @param type If set to 0, n refers to number of edges, choose
#' 1 for number of nodes
#' @param seed if set to -1, no seed is used.
#'
#' @useDynLib dataAnalysisMisc
#'
#' @export
sampleAdj <- function(adj, size=5,
n=5, maxTry=1000,
starTopo=1,
type=1, seed=-1) {
m <- c(as.matrix(unlist(adj), nrow=1))
erg <- c(as.integer(rep(0, length(m))))
ret <- .C("startAdj", matrix=as.integer(m), len=length(adj[1,]),
n=as.integer(n), size=as.integer(size), erg=erg,
maxTry=as.integer(maxTry), star=as.integer(starTopo),
type=as.integer(type), seed=as.integer(seed))
tbl <- table(ret$erg)
if (length(tbl)-1 != n) {
warning("To few clusters identified! Try increasing the maxTry parameter.")
}
print(tbl)
matrix(ret$erg, ncol=length(adj[1,]), nrow=length(adj[1,]))
}
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