View source: R/321.Expec_Leng_CC_All.R
lengthCAS | R Documentation |
Expected Length summary of continuity corrected ArcSine method
lengthCAS(n, alp, c, a, b)
n |
- Number of trials |
alp |
- Alpha value (significance level required) |
c |
- Continuity correction |
a |
- Beta parameters for hypo "p" |
b |
- Beta parameters for hypo "p" |
Evaluation of continuity corrected Wald-type interval for the arcsine transformation of the parameter p using sum of length of the n + 1 intervals
A dataframe with
sumLen |
The sum of the expected length |
explMean |
The mean of the expected length |
explSD |
The Standard Deviation of the expected length |
explMax |
The max of the expected length |
explLL |
The Lower limit of the expected length calculated using mean - SD |
explUL |
The Upper limit of the expected length calculated using mean + SD |
[1] 1998 Agresti A and Coull BA. Approximate is better than "Exact" for interval estimation of binomial proportions. The American Statistician: 52; 119 - 126.
[2] 1998 Newcombe RG. Two-sided confidence intervals for the single proportion: Comparison of seven methods. Statistics in Medicine: 17; 857 - 872.
[3] 2008 Pires, A.M., Amado, C. Interval Estimators for a Binomial Proportion: Comparison of Twenty Methods. REVSTAT - Statistical Journal, 6, 165-197.
Other Expected length of continuity corrected methods:
PlotexplCAS()
,
PlotexplCAll()
,
PlotexplCLT()
,
PlotexplCSC()
,
PlotexplCTW()
,
PlotexplCWD()
,
PlotlengthCAS()
,
PlotlengthCAll()
,
PlotlengthCLT()
,
PlotlengthCSC()
,
PlotlengthCTW()
,
PlotlengthCWD()
,
lengthCAll()
,
lengthCLT()
,
lengthCSC()
,
lengthCTW()
,
lengthCWD()
n= 10; alp=0.05; c=1/(2*n);a=1;b=1; lengthCAS(n,alp,c,a,b)
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