Dgrubbs: Grubbs D* distribution

In PMCMRplus: Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended

Grubbs D* distribution

Description

Distribution function for Grubbs D* distribution.

Usage

pdgrubbs(q, n, m = 10000, lower.tail = TRUE, log.p = FALSE)

Arguments

q	vector of quantiles.
n	total sample size.
m	number of Monte-Carlo replicates. Defaults to 10,000.
lower.tail	logical; if TRUE (default), probabilities are P[X \leq x] otherwise, P[X > x].
log.p	logical; if TRUE, probabilities p are given as log(p).

Value

pgrubbs gives the distribution function

References

Grubbs, F.E. (1950) Sample criteria for testing outlying observations, Ann. Math. Stat. 21, 27–58.

Wilrich, P.-T. (2011) Critical values of Mandel's h and k, Grubbs and the Cochran test statistic, Adv. Stat. Anal.. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s10182-011-0185-y")}.

See Also

Grubbs

Examples

pdgrubbs(0.62, 7, 1E4)

PMCMRplus documentation built on Nov. 27, 2023, 1:08 a.m.