paired.Scale: Confidence intervals for the ratio of scales 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 scales with matched pairs.

Usage

paired.Scale(x, y, method = "parametric", 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"
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	parametric: ratio of standard deviations, nonparametric: ratio of mean absolute deviations of the medians (x/y)
lower	lower confidence bound
upper	upper confidence bound

Author(s)

Cornelia Froemke, Ludwig Hothorn and Michael Schneider

References

Bonett, D.G. (2006): Confidence interval for a ratio of variance in bivariate nonnormal distributions. J. Stat. Comput. Sim., 76 (7), 637-644.

Bonett, D.G. and E. Seier (2003): Statistical inference for a ratio of dispersions using paired samples. J. Educ. Behav. Stat., 28 (1), 21-30.

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

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