law0009.Chisquared: The Chi-Squared Distribution

In PoweR: Computation of Power and Level Tables for Hypothesis Tests

Description

Random generation for the Chi-squared distribution with df degrees of freedom.

This generator is called by function gensample to create random variables based on its parameter.

Details

If df is not specified it assumes the default value of 1.

The Chi-squared distribution with df = k degrees of freedom has density:

f(x) = 1/(2^(k/2) Γ(k/2)) x^(k/2-1) e^(-x/2)

for x > 0 and k ≥ 1. The mean and variance are n and 2n.

Author(s)

P. Lafaye de Micheaux, V. A. Tran

References

Pierre Lafaye de Micheaux, Viet Anh Tran (2016). PoweR: A Reproducible Research Tool to Ease Monte Carlo Power Simulation Studies for Studies for Goodness-of-fit Tests in R. Journal of Statistical Software, 69(3), 1–42. doi:10.18637/jss.v069.i03

See Also

Distributions for other standard distributions.

Examples

res <- gensample(9,10000,law.pars=8)
res$law
res$law.pars
mean(res$sample)
sd(res$sample)

PoweR documentation built on May 2, 2019, 2:09 p.m.