Nothing
aout.hyper <-
function(data, param, alpha = 0.1, hide.outliers = FALSE){
# check arguments
if (!is.numeric(param) | !is.vector(param) | !identical(all.equal(length(param), 3), TRUE))
stop("param must be a numeric vector of length 3.")
if (!is.numeric(data) | !is.vector(data))
stop("data must be a numeric vector.")
if (max(data) > param[3])
stop("Impossible value for k, must be larger than max(data).")
if (!identical(all.equal(length(alpha), 1), TRUE) | alpha <= 0 | alpha >= 1)
stop("alpha must be a real number between 0 and 1, but it is ", alpha, ".")
# end check arguments
# determine the outlier region
m <- param[1]
n <- param[2]
k <- param[3]
x <- 0:k
prob.vector <- dhyper(x, m, n, k)
temp.region <- order(prob.vector)[which(cumsum(sort(prob.vector)) < alpha)] - 1
# give the results of the analysis
temp <- data.frame(data = data, is.outlier = (data %in% temp.region))
if (identical(all.equal(hide.outliers, FALSE), TRUE)) temp
else temp[temp[,2] == FALSE, 1]
}
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