Description Usage Arguments Value Author(s) References Examples
wilson gives a two-sided Wilson confidence interval for the difference of two dependent proportions. There is no continuity correction performed. 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 |
a |
first number of concordant paires as described above |
b |
first number of discordant paires as described above |
c |
second number of discordant paires as described above |
d |
second number of concordant paires 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
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 | # a=10, b=15, c=5, d=20, n=50, type I error is 0.05
conf.int=wilson(10,15,5,20,50,0.05)
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