cvCI: Confidence Intervals for Coefficient of Variation

In MKmisc: Miscellaneous Functions from M. Kohl

Confidence Intervals for Coefficient of Variation

Description

This function can be used to compute confidence intervals for the (classical) coefficient of variation.

Usage

cvCI(x, conf.level = 0.95, method = "miller", na.rm = FALSE)

Arguments

x	numeric vector.
conf.level	confidence level
method	character string specifing which method to use; see details.
na.rm	logical. Should missing values be removed?

Details

For details about the confidence intervals we refer to Gulhar et al (2012) and Arachchige et al (2019).

Value

A list with class "confint" containing the following components:

estimate	the estimated coefficient of variation.
conf.int	a confidence interval for the coefficient of variation.

Author(s)

Matthias Kohl [e-mail]

References

C.N.P.G. Arachchige, L.A. Prendergast and R.G. Staudte (2019). Robust analogues to the Coefficient of Variation. https://arxiv.org/abs/1907.01110.

M. Gulhar, G. Kibria, A. Albatineh, N.U. Ahmed (2012). A comparison of some confidence intervals for estimating the population coefficient of variation: a simulation study. Sort, 36(1), 45-69.

See Also

CV

Examples

x <- rnorm(100, mean = 10, sd = 2) # CV = 0.2
cvCI(x, method = "miller")
cvCI(x, method = "sharma")
cvCI(x, method = "curto")
cvCI(x, method = "mckay")
cvCI(x, method = "vangel")
cvCI(x, method = "panichkitkosolkul")
cvCI(x, method = "medmiller")
cvCI(x, method = "medmckay")
cvCI(x, method = "medvangel")
cvCI(x, method = "medcurto")
cvCI(x, method = "gulhar")

MKmisc documentation built on Nov. 20, 2022, 1:05 a.m.