Cochran: Cochran's distribution

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

Cochran's distribution

Description

Distribution function and quantile function for Cochran's distribution.

Usage

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 \leq x] otherwise, P[X > x].
log.p	logical; if TRUE, probabilities p are given as log(p).
q	vector of quantiles.

Value

pcochran gives the distribution function and qcochran gives the quantile function.

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.. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s10182-011-0185-y")}.

See Also

FDist

Examples

qcochran(0.05, 7, 3)

PMCMRplus documentation built on May 29, 2024, 8:34 a.m.