proportion (version 2.0.0)

lengthCAll: Expected Length summary calculation using 5 continuity corrected methods

Description

Expected Length summary calculation using 5 continuity corrected methods (Wald, Wald-T, Score, Logit-Wald, ArcSine)

Usage

lengthCAll(n, alp, c, a, b)

Arguments

n

- Number of trials

alp

- Alpha value (significance level required)

c

- Continuity correction

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

Details

The sum of length of 5 continuity corrected methods (Wald, Wald-T, Score, Logit-Wald, ArcSine) of 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 continuity corrected methods: PlotexplCAS, PlotexplCAll, PlotexplCLT, PlotexplCSC, PlotexplCTW, PlotexplCWD, PlotlengthCAS, PlotlengthCAll, PlotlengthCLT, PlotlengthCSC, PlotlengthCTW, PlotlengthCWD, lengthCAS, lengthCLT, lengthCSC, lengthCTW, lengthCWD

Examples

## Not run: ------------------------------------
# n= 10; alp=0.05; c=1/(2*n);a=1;b=1;
# lengthCAll(n,alp,c,a,b)
## ---------------------------------------------