PlotciAWD: Plot of CI estimation of adjusted Wald
In RajeswaranV/proportion: Inference on Single Binomial Proportion and Bayesian Computations
View source: R/112.ConfidenceIntervals_ADJ_n_Graph.R
PlotciAWD R Documentation
Plot of CI estimation of adjusted Wald
Description
Plot of CI estimation of adjusted Wald
Usage
PlotciAWD(n, alp, h)
Arguments
n
- Number of trials
alp
- Alpha value (significance level required)
h
- Adding factor
Details
The plots of the Confidence Interval using adjusted Wald method for n given alp and h
See Also
Other Adjusted methods of CI estimation:
PlotciAAS(),
PlotciAAllg(),
PlotciAAll(),
PlotciALR(),
PlotciALT(),
PlotciASC(),
PlotciATW(),
ciAAS(),
ciAAll(),
ciALR(),
ciALT(),
ciASC(),
ciATW(),
ciAWD()
Examples
n=5; alp=0.05;h=2
PlotciAWD(n,alp,h)
RajeswaranV/proportion documentation built on June 17, 2022, 9:11 a.m.
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View source: R/112.ConfidenceIntervals_ADJ_n_Graph.R
| PlotciAWD | R Documentation |
Plot of CI estimation of adjusted Wald
Description
Plot of CI estimation of adjusted Wald
Usage
PlotciAWD(n, alp, h)
Arguments
n |
- Number of trials |
alp |
- Alpha value (significance level required) |
h |
- Adding factor |
Details
The plots of the Confidence Interval using adjusted Wald method for n given alp and h
See Also
Other Adjusted methods of CI estimation:
PlotciAAS(),
PlotciAAllg(),
PlotciAAll(),
PlotciALR(),
PlotciALT(),
PlotciASC(),
PlotciATW(),
ciAAS(),
ciAAll(),
ciALR(),
ciALT(),
ciASC(),
ciATW(),
ciAWD()
Examples
n=5; alp=0.05;h=2 PlotciAWD(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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