Nothing
sp.assoc <-
function(matr)
{
if(any(is.na(matr))){
matr <- na.omit(matr)
cat("The data matrix contains NA, and have been removed.\n")
}
matr[matr>1] <- 1
frq <- freq.calc(matr)
N <- nrow(matr) ##Number of plots
S <- ncol(matr) ##Number of species
n <- apply(matr, 2, sum) ## Number of plots occupied by certain species
Tj <- apply(matr, 1, sum) ## Total number of species for each plot
t <- mean(Tj) ## Mean species number for all the plots
STsq <- (1/N)*sum((Tj-t)^2) ## Variance of species number
sigmaTsq <- sum((1-frq)*frq) ## Variance of species relative frequency
VR <- STsq/sigmaTsq ##Variance ratio: VR>1 Positively associated, VR<1 Negative associated
W <- VR * N # W statistic value, used in comparison with Chi(n).
result <- list(pi = frq, N = N, S = S, Tj = Tj, Numspmean = t,
sigmaTsq = sigmaTsq, STsq = STsq, var.ratio = VR, W = W)
return(result)
}
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