Nothing
distChoose.default <-
function (y, alpha = 0.05, method = "sw", choices = c("norm",
"gamma", "lnorm"), est.arg.list = NULL, warn = TRUE, keep.data = TRUE,
data.name = NULL, parent.of.data = NULL, subset.expression = NULL,
...)
{
if (is.null(data.name))
data.name <- deparse(substitute(y))
y <- as.vector(unlist(y))
if (!is.numeric(y) | length(y) == 0)
stop("'y' must be non-empty and all elements of 'y' must be a numeric")
if ((bad.obs.y <- sum(!(y.ok <- is.finite(y)))) > 0) {
if (warn) {
warning(paste(bad.obs.y, "observations with NA/NaN/Inf in 'y' removed."))
}
y <- y[y.ok]
}
if (length(y) == 0)
stop("All observations in 'y' are NA/Nan/Inf")
if (!is.numeric(alpha) || length(alpha) != 1 || alpha <=
0 || alpha >= 1)
stop("'alpha' must be a numeric scalar between 0 and 1")
method <- match.arg(method, c("sw", "sf", "ppcc", "proucl"))
if (method == "proucl") {
ret.list <- prouclDistChoose(y = y, alpha = alpha, data.name = data.name,
parent.of.data = parent.of.data, subset.expression = subset.expression)
}
else {
ret.list <- envstatsDistChoose(y = y, alpha = alpha,
method = method, choices = choices, est.arg.list = est.arg.list,
data.name = data.name, parent.of.data = parent.of.data,
subset.expression = subset.expression)
}
if (keep.data)
ret.list <- c(ret.list, list(data = y))
ret.list$data.name <- data.name
if (!is.null(parent.of.data))
ret.list$parent.of.data <- parent.of.data
if (!is.null(subset.expression))
ret.list$subset.expression <- subset.expression
if (bad.obs.y > 0)
ret.list$bad.obs <- bad.obs.y
oldClass(ret.list) <- "distChoose"
ret.list
}
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