PlotciAAllxg: Plots the CI estimation of 6 adjusted methods (Wald, Wald-T,...
In proportion: Inference on Single Binomial Proportion and Bayesian Computations
Description
Usage
Arguments
Details
Examples
View source: R/113.ConfidenceIntervals_ADJ_n_x.R
Description
Plots the CI estimation of 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine) grouped by x value
Usage
1
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
1
2
x=5; n=5; alp=0.5;h=2
PlotciAAllxg(x,n,alp,h)
proportion documentation built on May 1, 2019, 7:54 p.m.
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Description Usage Arguments Details Examples
View source: R/113.ConfidenceIntervals_ADJ_n_x.R
Description
Plots the CI estimation of 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine) grouped by x value
Usage
1 | 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
1 2 | 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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