proportion (version 2.0.0)

lengthAAll: Expected Length summary calculation using 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine)

Description

Expected Length summary calculation using 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine)

Usage

lengthAAll(n, alp, h, a, b)

Arguments

n

- Number of trials

alp

- Alpha value (significance level required)

h

- Adding factor

a

- Beta parameters for hypo "p"

b

- Beta parameters for hypo "p"

Value

A dataframe with

sumLen

The sum of the expected length

explMean

The mean of the expected length

explSD

The Standard Deviation of the expected length

explMax

The max of the expected length

explLL

The Lower limit of the expected length calculated using mean - SD

explUL

The Upper limit of the expected length calculated using mean + SD

method

Name of the method

Details

The sum of length of 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine) for n given alp, a, b

References

[1] 1998 Agresti A and Coull BA. Approximate is better than "Exact" for interval estimation of binomial proportions. The American Statistician: 52; 119 - 126.

[2] 1998 Newcombe RG. Two-sided confidence intervals for the single proportion: Comparison of seven methods. Statistics in Medicine: 17; 857 - 872.

[3] 2008 Pires, A.M., Amado, C. Interval Estimators for a Binomial Proportion: Comparison of Twenty Methods. REVSTAT - Statistical Journal, 6, 165-197.

See Also

Other Expected length of adjusted methods: PlotexplAAS, PlotexplAAll, PlotexplALR, PlotexplALT, PlotexplASC, PlotexplATW, PlotexplAWD, PlotlengthAAS, PlotlengthAAll, PlotlengthALR, PlotlengthALT, PlotlengthASC, PlotlengthATW, PlotlengthAWD, lengthAAS, lengthALR, lengthALT, lengthASC, lengthATW, lengthAWD

Examples

n= 10; alp=0.05; h=2;a=1;b=1;
lengthAAll(n,alp,h,a,b)