View source: R/511.Error-Failure_LimitBased_ADJ_All.R
errAAS | R Documentation |
Calculates error, long term power and pass/fail criteria for adjusted ArcSine method
errAAS(n, alp, h, phi, f)
n |
- Number of trials |
alp |
- Alpha value (significance level required) |
h |
- Adding factor |
phi |
- Null hypothesis value |
f |
- Failure criterion |
Evaluation of adjusted Wald-type interval for the arcsine transformation of the parameter p
using error due to the difference of achieved and nominal level of significance for the n + 1 intervals
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 |
[1] 2014 Martin Andres, A. and Alvarez Hernandez, M. Two-tailed asymptotic inferences for a proportion. Journal of Applied Statistics, 41, 7, 1516-1529
Other Error for adjusted methods:
PloterrAAS()
,
PloterrAAll()
,
PloterrALR()
,
PloterrALT()
,
PloterrASC()
,
PloterrATW()
,
PloterrAWD()
,
errAAll()
,
errALR()
,
errALT()
,
errASC()
,
errATW()
,
errAWD()
n=20; alp=0.05; h=2;phi=0.99; f=-2 errAAS(n,alp,h,phi,f)
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