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Cochran

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 <= 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.. doi: 10.1007/s10182-011-0185-y.

See Also

Examples

qcochran(0.05, 7, 3)

PMCMRplus

Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended

v1.9.0
GPL (>= 3)
Authors
Thorsten Pohlert [aut, cre] (<https://orcid.org/0000-0003-3855-3025>)
Initial release
2021-01-12

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