Description Usage Arguments Value Author(s) References Examples
This function computes confidence intervals for the ratio of scales with matched pairs.
1 | paired.Scale(x, y, method = "parametric", conf.level = 0.95, alternative = "two.sided")
|
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" |
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 |
Cornelia Froemke, Ludwig Hothorn and Michael Schneider
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.
1 2 3 4 5 6 7 | 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")
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