PlotciATW: Plot of CI estimation of adjusted Wald-T
In proportion: Inference on Single Binomial Proportion and Bayesian Computations
Description
Usage
Arguments
Details
See Also
Examples
View source: R/112.ConfidenceIntervals_ADJ_n_Graph.R
Description
Plot of CI estimation of adjusted Wald-T
Usage
1
PlotciATW(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-T method for n given alp and h
See Also
Other Adjusted methods of CI estimation: PlotciAAS,
PlotciAAllg, PlotciAAll,
PlotciALR, PlotciALT,
PlotciASC, PlotciAWD,
ciAAS, ciAAll,
ciALR, ciALT,
ciASC, ciATW,
ciAWD
Examples
1
2
n=5; alp=0.05;h=2
PlotciATW(n,alp,h)
proportion documentation built on May 1, 2019, 7:54 p.m.
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Description Usage Arguments Details See Also Examples
View source: R/112.ConfidenceIntervals_ADJ_n_Graph.R
Description
Plot of CI estimation of adjusted Wald-T
Usage
1 | PlotciATW(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-T method for n given alp and h
See Also
Other Adjusted methods of CI estimation: PlotciAAS,
PlotciAAllg, PlotciAAll,
PlotciALR, PlotciALT,
PlotciASC, PlotciAWD,
ciAAS, ciAAll,
ciALR, ciALT,
ciASC, ciATW,
ciAWD
Examples
1 2 | n=5; alp=0.05;h=2
PlotciATW(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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