Distribution function and quantile function for Cochran's distribution.
qcochran(p, k, n, lower.tail =TRUE, log.p =FALSE)pcochran(q, k, n, lower.tail =TRUE, log.p =FALSE)
Arguments
p: vector of probabilities.
k: number of groups.
n: (average) sample size of the k groups.
lower.tail: logical; if TRUE (default), probabilities are P[X≤x] otherwise, P[X>x].
log.p: logical; if TRUE, probabilities p are given as log(p).
q: vector of quantiles.
Returns
pcochran gives the distribution function and qcochran gives the quantile function.
Examples
qcochran(0.05,7,3)
References
Cochran, W.G. (1941) The distribution of the largest of a set of estimated variances as a fraction of their total. Ann. Eugen. 11 , 47--52.
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") .