Nothing
wsGofTest <-
function (x, method = "normal scores", alternative = "greater")
{
if (!is.vector(x, mode = "numeric"))
stop("'x' must be a numeric vector")
data.name <- deparse(substitute(x))
if ((bad.obs <- sum(!(x.ok <- is.finite(x)))) > 0) {
is.not.finite.warning(x)
x <- x[x.ok]
warning(paste(bad.obs, "observations with NA/NaN/Inf in 'x' removed."))
}
n <- length(x)
if (any(x < 0) || any(x > 1) || n < 2)
stop(paste("'x' must be a numeric vector with", "at least 2 non-missing elements,",
"and all values between 0 and 1"))
sep.string <- paste("\n", space(33), sep = "")
method <- match.arg(method, c("normal scores", "chi-square scores"))
alternative <- match.arg(alternative, c("less", "greater"))
dist <- "Uniform [0, 1]"
dist.params <- c(min = 0, max = 1)
if (method == "normal scores") {
scores <- qnorm(x)
stat <- sum(scores)/sqrt(n)
names(stat) <- "z (G)"
p.value <- pnorm(stat)
names(p.value) <- names(stat)
parameters <- NULL
}
else {
scores <- -2 * log(x)
stat <- sum(scores)
names(stat) <- "Chi-square (C)"
df <- 2 * n
p.value <- pchisq(stat, df = df, lower.tail = FALSE)
names(p.value) <- names(stat)
parameters <- c(df = df)
}
if (alternative == "less")
p.value <- 1 - p.value
alt <- paste("True cdf is ", alternative, " than the", sep.string,
dist, sep.string, "Distribution.", sep = "")
method <- ifelse(method == "normal scores", "Normal Scores",
"Chi-Square Scores")
ret.list <- list(distribution = dist, dist.abb = "unif",
distribution.parameters = dist.params, n.param.est = 0,
estimation.method = NULL, statistic = stat, sample.size = n,
parameters = parameters, p.value = p.value, alternative = alt,
method = paste("Wilk-Shapiro GOF (", method, ")", sep = ""),
data = x, data.name = data.name, bad.obs = bad.obs, scores = scores)
oldClass(ret.list) <- "gof"
ret.list
}
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