errAll: Calculates error, long term power and pass/fail criteria...

In proportion: Inference on Single Binomial Proportion and Bayesian Computations

Description

Calculates error, long term power and pass/fail criteria using 6 base methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine)

Usage

errAll(n, alp, phi, f)

Arguments

n	- Number of trials
alp	- Alpha value (significance level required)
phi	- Null hypothesis value
f	- Failure criterion

Details

Calculation of error, long term power and pass/fail criteria using 6 base methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine)

Value

A dataframe with

delalp	Delta-alpha is the increase of the nominal error with respect to real error
theta	Long term power of the test
Fail_Pass	Fail/pass based on the input f criterion
method	Name of the method

References

[1] 2014 Martin Andres, A. and Alvarez Hernandez, M. Two-tailed asymptotic inferences for a proportion. Journal of Applied Statistics, 41, 7, 1516-1529

See Also

Other Error for base methods: PloterrAS, PloterrAll, PloterrBA, PloterrEX, PloterrLR, PloterrLT, PloterrSC, PloterrTW, PloterrWD, errAS, errBA, errEX, errLR, errLT, errSC, errTW, errWD

Examples

n=20; alp=0.05; phi=0.05; f=-2
errAll(n,alp,phi,f)

proportion documentation built on May 1, 2019, 7:54 p.m.