paired.Loc: Confidence intervals for the ratio of locations of two paired...

In pairedCI: Confidence intervals for the ratio of locations and for the ratio of scales of two paired samples

Description

This function computes confidence intervals for the ratio of locations with matched pairs. Expected values must be positive.

Usage

paired.Loc(x, y, method = "parametric", exact = FALSE, conf.level = 0.95, alternative = "two.sided")

Arguments

x	sample 1; a (non-empty) numeric vector of data values
y	sample 2; a (non-empty) numeric vector of data values
method	either "parametric" (default) or "nonparametric"
exact	a logical indicating whether the exact nonparametric confidence interval should be computed
conf.level	confidence level of the interval with 95% as default
alternative	type of alternative hypothesis, one of "two.sided" (default), "greater" or "less"

Value

estimate	ratio of means (x/y)
lower	lower confidence bound
upper	upper confidence bound

Author(s)

Cornelia Froemke, Ludwig Hothorn and Michael Schneider

References

J. Ogawa (1983): On the "confidence bounds" of the ratio of the means of a bivariate normal distribution. Ann. Inst. Statist. Math., 35, 41-48.

B.M. Bennett (1965): Confidence limits for a ratio using Wilcoxon's signed rank test. Biometrics, 21, 231-234.

K.F. Yee (1988): Confidence-interval approach for evaluating bias in laboratory methods. Journal of Automatic Chemistry, 10 (3), 144-146.

Examples

astra <- c(2.4, 4.8, 4, 4.9, 3.9, 4.1, 3.8, 3.5, 4.6, 2.9, 4.9, 3.7, 4.8, 3.7, 3.8, 4.1, 4.2, 4.3, 3.9, 3.8)

flame <- c(2.4, 4.8, 4, 4.7, 3.9, 4.2, 3.8, 3.3, 4.6, 3, 5, 3.6, 4.9, 3.8, 3.9, 4.6, 4.2, 4.4, 4, 3.4)

paired.Loc(astra, flame, conf.level=0.9, method="parametric")
paired.Loc(astra, flame, conf.level=0.9, method="nonparametric")

pairedCI documentation built on May 2, 2019, 7:28 a.m.