Nothing
index.bio <-
function (data, method = c("Margalef","Simpson.Dom", "Simpson.Div", "Berger.Parker",
"McIntosh","Shannon"),level = 95, nboot = 100, console=TRUE)
{
method <- match.arg(method)
x <- data
if (length(x) > 1) {
if (method == "Margalef")
formula1 <- expression((length(x) - 1)/log(sum(x)))
if (method == "Simpson.Dom")
formula1 <- expression(sum((x/sum(x))^2))
if (method == "Simpson.Div")
formula1 <- expression(1 - sum((x/sum(x))^2))
if (method == "Berger.Parker")
formula1 <- expression(max(x)/sum(x))
if (method == "McIntosh")
formula1 <- expression((sum(x) - sqrt(sum(x^2)))/(sum(x) -
sqrt(sum(x))))
if (method == "Shannon")
formula1 <- expression(-sum((x/sum(x)) * log((x/sum(x)),2)))
index <- eval(formula1)
n = length(x)
estimador <- rep(0, n)
for (i in 1:nboot) {
x <- sample(data, n, replace = TRUE)
estimador[i] <- eval(formula1)
}
lic = as.numeric(quantile(estimador, (1 - 0.01 * level)/2, type = 6))
lsc = as.numeric(quantile(estimador, (1 + 0.01 * level)/2, type = 6))
if (console) {
cat("\nMethod:", method, "\n")
cat("\nThe index:", index, "\n\n")
cat(level, "percent confidence interval:\n", lic, ";", lsc,
"\n\n")
}
}
if ( length(x) > 1) return(data.frame(row.names = NULL,method=method,index=index,confidence=level,lic=lic,lsc=lsc,nboot=nboot))
else return("Error data < 2")
}
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