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

In RajeswaranV/proportion: Inference on Single Binomial Proportion and Bayesian Computations

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

Description

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

Usage

errAAll(n, alp, h, phi, f)

Arguments

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

Details

Calculates error, long term power and pass/fail criteria using 6 adjusted 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

See Also

Other Error for adjusted methods: PloterrAAS(), PloterrAAll(), PloterrALR(), PloterrALT(), PloterrASC(), PloterrATW(), PloterrAWD(), errAAS(), errALR(), errALT(), errASC(), errATW(), errAWD()

Examples

n=20; alp=0.05;h=2; phi=0.99; f=-2
errAAll(n,alp,h,phi,f)

RajeswaranV/proportion documentation built on June 17, 2022, 9:11 a.m.