PlotciAAllxg: Plots the CI estimation of 6 adjusted methods (Wald, Wald-T,...
In RajeswaranV/proportion: Inference on Single Binomial Proportion and Bayesian Computations
View source: R/113.ConfidenceIntervals_ADJ_n_x.R
PlotciAAllxg R Documentation
Plots the CI estimation of 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine) grouped by x value
Description
Plots the CI estimation of 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine) grouped by x value
Usage
PlotciAAllxg(x, n, alp, h)
Arguments
x
- Number of success
n
- Number of trials
alp
- Alpha value (significance level required)
h
- Adding factor
Details
The plots of confidence intervals of using 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine) grouped by x for n given alp, x and h
Examples
x=5; n=5; alp=0.5;h=2
PlotciAAllxg(x,n,alp,h)
RajeswaranV/proportion documentation built on June 17, 2022, 9:11 a.m.
R Package Documentation
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View source: R/113.ConfidenceIntervals_ADJ_n_x.R
| PlotciAAllxg | R Documentation |
Plots the CI estimation of 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine) grouped by x value
Description
Plots the CI estimation of 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine) grouped by x value
Usage
PlotciAAllxg(x, n, alp, h)
Arguments
x |
- Number of success |
n |
- Number of trials |
alp |
- Alpha value (significance level required) |
h |
- Adding factor |
Details
The plots of confidence intervals of using 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine) grouped by x for n given alp, x and h
Examples
x=5; n=5; alp=0.5;h=2 PlotciAAllxg(x,n,alp,h)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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