calc.n.beta: Audit Sample Size for any Sample
In koenderks/auditR: A Multifunctional R Package for Auditing

Description Usage Arguments Value Details Author(s) Examples

This function calculates the required sample size for an audit, based on the Beta distribution. The Beta distribution is not bound to a population size, and can be used in any case. calc.n.beta improves on calc.n.binomial by presenting the possibility that the mistakes are not complete mistakes.

1	calc.n.beta(expected.mistakes, materiality, mean.taint = 1, confidence = 0.95)

`expected.mistakes`	An integer representing the number of expected mistakes in the sample.
`materiality`	A value representing the materiality of the audit in percentages.
`mean.taint`	A value representing the expected mean taint in the sample, defaults to 1.
`confidence`	The amount of confidence desired from the bound (on a scale from 0 to 1), defaults to 95% confidence.

A value indicating the required sample size for the audit.

EMPTY FOR NOW

Koen Derks, k.derks@nyenrode.nl

# Calculate the required sample size for a materiality of 5\% when one mistake
# is expected to be found in the sample, which is expected to have a taint of 0.5.
calc.n.binomial(expected.mistakes = 1,
                materiality = 0.05,
                mean.taint = 0.5,
                confidence = 0.95)