PlotciEX: Plots the CI estimation of exact methods

In RajeswaranV/proportion: Inference on Single Binomial Proportion and Bayesian Computations

Plots the CI estimation of exact methods

Description

Plots the CI estimation of exact methods

Usage

PlotciEX(n, alp, e)

Arguments

n	- Number of trials
alp	- Alpha value (significance level required)
e	- Exact method indicator in [0, 1] 1: Clopper Pearson, 0.5: Mid P, The input can also be a range of values between 0 and 1.

Details

The plot of Confidence Interval of n given alp.

See Also

Other Basic methods of CI estimation: PlotciAS(), PlotciAllg(), PlotciAll(), PlotciBA(), PlotciLR(), PlotciLT(), PlotciSC(), PlotciTW(), PlotciWD(), ciAS(), ciAll(), ciBA(), ciEX(), ciLR(), ciLT(), ciSC(), ciTW(), ciWD()

Examples

## Not run: 
n=5; alp=0.05; e=0.5 #Mid-p
PlotciEX(n,alp,e)
n=5; alp=0.05;e=1 #Clopper-Pearson
PlotciEX(n,alp,e)
n=5; alp=0.05;e=c(0.05,0.1,0.5,0.95,1) #Range including Mid-p and Clopper-Pearson
PlotciEX(n,alp,e)

## End(Not run)

RajeswaranV/proportion documentation built on June 17, 2022, 9:11 a.m.