Description Usage Arguments Details Value References See Also Examples

View source: R/101.Confidence_base_n.R

ArcSine method of CI estimation

1 | ```
ciAS(n, alp)
``` |

`n` |
- Number of trials |

`alp` |
- Alpha value (significance level required) |

Wald-type interval for all x = 0, 1, 2 ..n using the arcsine transformation of the parameter p; that is based on the normal approximation for sin-1(p).
Calculates the Confidence Interval of `n`

given `alp`

along with lower and upper abberation.

A dataframe with

`x ` |
- Number of successes (positive samples) |

`LAS ` |
- ArcSine Lower limit |

`UAS ` |
- ArcSine Upper Limit |

`LABB ` |
- ArcSine Lower Abberation |

`UABB ` |
- ArcSine Upper Abberation |

`ZWI ` |
- Zero Width Interval |

[1] 1993 Vollset SE. Confidence intervals for a binomial proportion. Statistics in Medicine: 12; 809 - 824.

[2] 1998 Agresti A and Coull BA. Approximate is better than "Exact" for interval estimation of binomial proportions. The American Statistician: 52; 119 - 126.

[3] 1998 Newcombe RG. Two-sided confidence intervals for the single proportion: Comparison of seven methods. Statistics in Medicine: 17; 857 - 872.

[4] 2001 Brown LD, Cai TT and DasGupta A. Interval estimation for a binomial proportion. Statistical Science: 16; 101 - 133.

[5] 2002 Pan W. Approximate confidence intervals for one proportion and difference of two proportions Computational Statistics and Data Analysis 40, 128, 143-157.

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

[7] 2014 Martin Andres, A. and Alvarez Hernandez, M. Two-tailed asymptotic inferences for a proportion. Journal of Applied Statistics, 41, 7, 1516-1529

`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 Basic methods of CI estimation: `PlotciAS`

,
`PlotciAllg`

, `PlotciAll`

,
`PlotciBA`

, `PlotciEX`

,
`PlotciLR`

, `PlotciLT`

,
`PlotciSC`

, `PlotciTW`

,
`PlotciWD`

, `ciAll`

,
`ciBA`

, `ciEX`

,
`ciLR`

, `ciLT`

,
`ciSC`

, `ciTW`

,
`ciWD`

1 2 | ```
n=5; alp=0.05
ciAS(n,alp)
``` |

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