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Last data update: 2014.03.03

R: Calculates a rank-based confidence interval

np.t	R Documentation

Calculates a rank-based confidence interval

Description

np.t gives a two-sided rank-based confidence interval with t- approximation for the difference of two dependent proportions. 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

np.t(a, b, c, d, n, alpha)

Arguments

`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

Details

The t-approximation is used for the critical value for the interval.

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

Lange, K. and Brunner, E. (2012). Sensitivity, Specificity and ROC-curves in multiple reader diagnostic trials-A unified, nonparametric approach. Statistical Methodology 9, 490-500.

Examples

# a=10, b=15, c=5, d=20, n=50, type I error is 0.05
conf.int=np.t(10,15,5,20,50,0.05)