Description Usage Arguments Value Author(s) References Examples
exact.cond gives a two-sided exact conditinal confidence interval for the difference of two dependent proportions. It is built of a Clopper Pearson Interval. Data are assumed to be of a fourfold table, which contains the numbers of concordance and the numbers of discordance of two dependent methods.
1 | exact.cond(b, c, n, alpha)
|
b |
first number of discordant pairs in a fourfold table as described above |
c |
second number of discordant pairs in a fourfold table as described above |
n |
number of observed objects |
alpha |
type I error; between zero and one |
A list with class '"htest"' containing the following components:
conf.int |
a confidence interval for the difference in proportions |
estimate |
estimated difference in proportions |
Daniela Wenzel, Antonia Zapf
Clopper, C. and Pearson, E.S. (1934). The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika 26, 404-413.
Newcombe, R.G. (1998). Improved confidence intervals for the difference between binomial proportions based on paired data. Statistics in Medicine 17. 2635-2650.
1 2 | # b=10, c=20, n=50, type I error is 0.05
conf.int=exact.cond(10,20,50,0.05)
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