ciAAS: Adjusted ArcSine method of CI estimation

Description Usage Arguments Details Value References See Also Examples

View source: R/111.ConfidenceIntervals_ADJ_n.R

Description

Adjusted ArcSine method of CI estimation

Usage

1
ciAAS(n, alp, h)

Arguments

n

- Number of trials

alp

- Alpha value (significance level required)

h

- adding factor

Details

Wald-type interval for the arcsine transformation of the parameter p for the modified data x + h and n + (2*h) , where h > 0 and for all x = 0, 1, 2 ..n.

Value

A dataframe with

x

Number of successes (positive samples)

LAAS

Adjusted ArcSine Lower limit

UAAS

Adjusted ArcSine Upper Limit

LABB

Adjusted ArcSine Lower Abberation

UABB

Adjusted ArcSine Upper Abberation

ZWI

Zero Width Interval

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

prop.test and binom.test for equivalent base Stats R functionality, binom.confint provides similar functionality for 11 methods, wald2ci which provides multiple functions for CI calculation , binom.blaker.limits which calculates Blaker CI which is not covered here and propCI which provides similar functionality.

Other Adjusted methods of CI estimation: PlotciAAS, PlotciAAllg, PlotciAAll, PlotciALR, PlotciALT, PlotciASC, PlotciATW, PlotciAWD, ciAAll, ciALR, ciALT, ciASC, ciATW, ciAWD

Examples

1
2
n=5; alp=0.05;h=2
ciAAS(n,alp,h)

proportion documentation built on May 19, 2017, 7:40 a.m.

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