R: Calculates an exact conditional confidence interval using a...
exact.cond
R Documentation
Calculates an exact conditional confidence interval using a Clopper Pearson interval.
Description
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.
Usage
exact.cond(b, c, n, alpha)
Arguments
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
Value
A list with class '"htest"' containing the following components:
conf.int
a confidence interval for the difference in proportions
estimate
estimated difference in proportions
Author(s)
Daniela Wenzel, Antonia Zapf
References
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.
Examples
# b=10, c=20, n=50, type I error is 0.05
conf.int=exact.cond(10,20,50,0.05)