pairedCI (version 0.5-4)

paired.Scale: Confidence intervals 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

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")