View source: R/311.Expec_Leng_ADJ_All.R
lengthALT | R Documentation |
Performs expected length and sum of length of Adjusted Logit Wald method
lengthALT(n, alp, h, a, b)
n |
- Number of trials |
alp |
- Alpha value (significance level required) |
h |
- Adding factor |
a |
- Beta parameters for hypo "p" |
b |
- Beta parameters for hypo "p" |
Evaluation of adjusted Wald-type interval based on the logit transformation of 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 adjusted methods:
PlotexplAAS()
,
PlotexplAAll()
,
PlotexplALR()
,
PlotexplALT()
,
PlotexplASC()
,
PlotexplATW()
,
PlotexplAWD()
,
PlotlengthAAS()
,
PlotlengthAAll()
,
PlotlengthALR()
,
PlotlengthALT()
,
PlotlengthASC()
,
PlotlengthATW()
,
PlotlengthAWD()
,
lengthAAS()
,
lengthAAll()
,
lengthALR()
,
lengthASC()
,
lengthATW()
,
lengthAWD()
n= 10; alp=0.05; h=2;a=1;b=1; lengthALT(n,alp,h,a,b)
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