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#' Network Connectivity
#' @description Computes the average and standard deviation of the weights in the network
#'
#' @param A An adjacency matrix of a network
#'
#' @return Returns a list containing:
#'
#' \item{weights}{Each edge weight in the network}
#'
#' \item{mean}{The mean of the edge weights in the network}
#'
#' \item{sd}{The standard deviation of the edge weights in the network}
#'
#' \item{total}{The sum total of the edge weights in the network}
#'
#' @examples
#' # Pearson's correlation only for CRAN checks
#' A <- TMFG(neoOpen, normal = FALSE)$A
#'
#' connectivity <- conn(A)
#'
#' @author Alexander Christensen <alexpaulchristensen@gmail.com>
#'
#' @export
#Network Connectivity----
conn <- function (A)
{
diag(A)<-0
weights<-0
wc<-0
B<-A[lower.tri(A)]
for(i in 1:length(B))
if (B[i]!=0)
{
wc <- wc+1
weights[wc] <- B[i]
}
tot<-sum(weights)
mea<-mean(weights)
s<-sd(weights)
possible<-sum(ifelse(A!=0,1,0)/2)
den<-possible/((ncol(A)^2-ncol(A))/2)
return(list(weights=weights,mean=mea,sd=s,total=tot,density=den))
}
#----
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