R: Power Calculations for Exact Test of a simple null hypothesis...

power_binom_test {MESS} | R Documentation

## Power Calculations for Exact Test of a simple null hypothesis in a Bernoulli experiment

### Description

Compute power of test, or determine parameters to obtain target power.

### Usage

    power_binom_test(n = NULL, p0 = NULL, pa = NULL, sig.level = 0.05,
      power = NULL, alternative = c("two.sided", "less", "greater"))

### Arguments

`n` | Number of observations
`p0` | Probability under the null
`pa` | Probability under the alternative
`sig.level` | Significance level (Type I error probability)
`power` | Power of test (1 minus Type II error probability)
`alternative` | One- or two-sided test

### Details

The procedure uses uniroot to find the root of a discontinuous function so some errors may pop up due to the given setup that causes the root-finding procedure to fail. Also, since exact binomial tests are used we have discontinuities in the function that we use to find the root of but despite this the function is usually quite stable.

### Value

Object of class `power.htest`, a list of the arguments (including the computed one) augmented with method and note elements.

### Author(s)

Claus Ekstrom claus@rprimer.dk

### See Also

`binom.test`

### Examples

    power_binom_test(n = 50, p0 = .50, pa = .75)      ## => power = 0.971
    power_binom_test(p0 = .50, pa = .75, power = .90) ## =>     n = 41
    power_binom_test(n = 50, p0 = .25, power = .90, alternative="less")  ## => pa = 0.0954

[Package MESS version 0.5.6 Index]