fisherPower: Power analysis for fisher test
In dkneis/knut: Kneis utilities

Description Usage Arguments Value Author(s) See Also Examples

Computes the power of fishers exact test by means of simulation.

1	fisherPower(pA, pB, nA, nB, alpha = 0.05, nRepl = 1000)

`pA`	True proportion in 1st sample. Not to be confused with odds.
`pB`	True proportion in 2nd sample. Not to be confused with odds.
`nA`	Size of 1st sample.
`nB`	Size of 2nd sample.
`alpha`	Alpha error (default 0.05).
`nRepl`	Number of simulations to be performed.

The power of the test, i.e. 1-Beta.

David Kneis david.kneis@tu-dresden.de

Method power.fisher.test from package statmod yields essentially the same results.

nA <- 814
pA <- 29/814
nB <- 276
pB <- 1/276
print(fisherPower(pA, pB, nA, nB))
## Not run: 
library("statmod")
power.fisher.test(p1=pA, p2=pB, n1=nA, n2=nB, alpha=0.05, nsim=1000, alternative="two.sided")

## End(Not run)