Nothing
assortment.continuous <- function(graph, vertex_values, weighted=TRUE, SE=FALSE, M=1, na.rm=FALSE) {
graph <- as.matrix(graph)
if (any(is.na(vertex_values)) & !na.rm) {
stop("vertex_values contains NAs")
}
if (any(is.na(vertex_values)) & na.rm) {
graph <- graph[which(!is.na(vertex_values)),which(!is.na(vertex_values))]
vertex_values <- vertex_values[which(!is.na(vertex_values))]
}
if (!weighted) {
graph[graph > 0] <- 1
graph[graph < 1] <- 0
}
i <- which(graph>0,arr.ind=TRUE)
ji <- which(graph>0,arr.ind=TRUE)[,1]
ki <- which(graph>0,arr.ind=TRUE)[,2]
top1 <- sum(graph[i]*vertex_values[ji]*vertex_values[ki])
top2 <- sum(graph[i]*vertex_values[ji])
top3 <- sum(graph[i]*vertex_values[ki])
bottom1 <- sum(graph[i]*vertex_values[ji]^2)
bottom2 <- sum(graph[i]*vertex_values[ji])^2
bottom3 <- sum(graph[i]*vertex_values[ki]^2)
bottom4 <- sum(graph[i]*vertex_values[ki])^2
r<- (top1 - (1/sum(graph) * top2 * top3)) / sqrt((bottom1-(1/sum(graph))*bottom2)*(bottom3-(1/sum(graph))*bottom4))
if (SE) {
se <- 0
N <- which(graph>0)
E <- seq(1,length(N),M)
if (E[length(E)] < length(N))
E <- c(E,(length(N)+1))
for (g in 1:(length(E)-1)) {
graph2 <- graph
graph2[N[E[g]:(E[g+1]-1)]] <- 0
i <- which(graph2>0,arr.ind=TRUE)
ji <- which(graph2>0,arr.ind=TRUE)[,1]
ki <- which(graph2>0,arr.ind=TRUE)[,2]
top1 <- sum(graph2[i]*vertex_values[ji]*vertex_values[ki])
top2 <- sum(graph2[i]*vertex_values[ji])
top3 <- sum(graph2[i]*vertex_values[ki])
bottom1 <- sum(graph2[i]*vertex_values[ji]^2)
bottom2 <- sum(graph2[i]*vertex_values[ji])^2
bottom3 <- sum(graph2[i]*vertex_values[ki]^2)
bottom4 <- sum(graph2[i]*vertex_values[ki])^2
ri<- (top1 - (1/sum(graph2) * top2 * top3)) / sqrt((bottom1-(1/sum(graph2))*bottom2)*(bottom3-(1/sum(graph2))*bottom4))
se <- se + (ri-r)^2
}
se <- sqrt(((length(E)-1)/length(E))*se)
return(list(r=r, se=se))
} else {
return(list(r=r))
}
}
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