sample.size.count.poisson.onesample.exact: Sample Size - Single Sample Poisson Test
In burrm/lolcat: Miscellaneous Useful Functions

View source: R/sample.size.count.poisson.onesample.exact.R

sample.size.count.poisson.onesample.exact

R Documentation

Sample Size - Single Sample Poisson Test

Description

Sample size calculation utilizes the exact power calculation.

Usage

sample.size.count.poisson.onesample.exact(
  lambda.null.hypothesis,
  lambda.alternative.hypothesis,
  alpha = 0.05,
  beta = 0.1,
  alternative = c("two.sided", "less", "greater"),
  details = TRUE,
  power.from.actual = F,
  n.initial = sample.size.count.poisson.onesample.approximate(lambda.null.hypothesis =
    lambda.null.hypothesis, lambda.alternative.hypothesis =
    lambda.alternative.hypothesis, alpha = alpha, beta = beta, alternative = alternative,
    details = FALSE),
  max.iteration = 10000
)

Arguments

`lambda.null.hypothesis`	Scalar - null hypothesis lambda parameter
`lambda.alternative.hypothesis`	Scalar - alternative hypothesis lambda parameter
`alpha`	Scalar - Type I error rate
`beta`	Scalar - Type II error rate
`alternative`	Scalar (character) - alternative hypothesis
`details`	Logical - Return calculation details (default) or return only sample size (details = FALSE)
`power.from.actual`	Logical - If true, return 1-beta, if false, calculate power using calculated sample size.
`n.initial`	Scalar - Integer with initial sample size guess.
`max.iteration`	Scalar - Maximum iterations to perform before declaring failure.