Distribution function and quantile function for Grubbs distribution.
qgrubbs(p, n)pgrubbs(q, n, lower.tail =TRUE)
Arguments
p: vector of probabilities.
n: total sample size.
q: vector of quantiles.
lower.tail: logical; if TRUE (default), probabilities are P[X≤x] otherwise, P[X>x].
Returns
pgrubbs gives the distribution function and qgrubbs gives the quantile function.
Examples
qgrubbs(0.05,7)
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.. tools:::Rd_expr_doi("10.1007/s10182-011-0185-y") .