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**proportion**: Inference on Single Binomial Proportion and Bayesian Computations**PlotciCAllx**: Plots the CI estimation of 5 continuity corrected methods...

# Plots the CI estimation of 5 continuity corrected methods (Wald, Wald-T, Score, Logit-Wald, ArcSine) given n, alp and x with continuity correction c

### Description

Plots the CI estimation of 5 continuity corrected methods (Wald, Wald-T, Score, Logit-Wald, ArcSine) given n, alp and x with continuity correction c

### Usage

1 | ```
PlotciCAllx(x, n, alp, c)
``` |

### Arguments

`x` |
- Number of sucess |

`n` |
- Number of trials |

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

`c` |
- Continuity correction |

### Details

Plots the Confidence Interval of 5 continuity corrected methods (Wald, Wald-T, Score, Logit-Wald, ArcSine) for `n`

given `alp`

, `x`

and and `c`

### See Also

Other Continuity correction methods of CI estimation given x and n: `PlotciCAllxg`

,
`ciCAllx`

, `ciCLTx`

,
`ciCSCx`

, `ciCTWx`

,
`ciCWDx`

### Examples

1 2 | ```
x=5; n=5; alp=0.05;c=1/(2*n)
PlotciCAllx(x,n,alp,c)
``` |

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- PlotciAAS: Plot of CI estimation of adjusted ArcSine
- PlotciAll: Plots the CI estimation of 6 base methods (Wald, Wald-T,...
- PlotciAllg: Plots the CI estimation of 6 base methods (Wald, Wald-T,...
- PlotciAllx: Plots the CI estimation of 6 base methods (Wald, Wald-T,...
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- PlotciATW: Plot of CI estimation of adjusted Wald-T
- PlotciAWD: Plot of CI estimation of adjusted Wald
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- PlotciCAllg: Plots the CI estimation of 5 continuity corrected methods...
- PlotciCAllx: Plots the CI estimation of 5 continuity corrected methods...
- PlotciCAllxg: Plots the CI estimation of 5 continuity corrected methods...
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- PlotciCLT: Plots the CI estimation of continuity corrected Logit Wald...
- PlotciCSC: Plots the CI estimation of continuity corrected Score method...
- PlotciCTW: Plots the CI estimation of continuity corrected Wald-T method...
- PlotciCWD: Plots the CI estimation of continuity corrected Wald method...
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- probPOS: Bayesian posterior Probabilities
- probPOSx: Bayesian posterior Probabilities
- probPRE: The Predicted probability - Bayesian approach
- probPREx: The Predicted probability - Bayesian approach