CoefVar: R6 Coefficient of Variation (cv)

In MaaniBeigy/DescObs: Versatile Exploration of Data

Description

The R6 class CoefVar for the coefficient of variation (cv)

Arguments

x	An R object. Currently there are methods for numeric vectors
na.rm	a logical value indicating whether NA values should be stripped before the computation proceeds.
digits	integer indicating the number of decimal places to be used.

Details

Coefficient of Variation

CV = σ/μ

where σ and μ are standard deviation and mean, respectively. The cv is a measure of relative dispersion representing the degree of variability relative to the mean [1]. Since cv is unitless, it is useful for comparison of variables with different units. It is also a measure of homogeneity [1].

References

[1] Albatineh, AN., Kibria, BM., Wilcox, ML., & Zogheib, B, 2014, Confidence interval estimation for the population coefficient of variation using ranked set sampling: A simulation study, Journal of Applied Statistics, 41(4), 733–751, DOI: http://doi.org/10.1080/02664763.2013.847405

Examples

x <- c(
    0.2, 0.5, 1.1, 1.4, 1.8, 2.3, 2.5, 2.7, 3.5, 4.4,
    4.6, 5.4, 5.4, 5.7, 5.8, 5.9, 6.0, 6.6, 7.1, 7.9
)
CoefVar$new(x)$est()
cv_x <- CoefVar$new(x, digits = 2)
cv_x$est()
cv_x$est_corr()
R6::is.R6(cv_x)

MaaniBeigy/DescObs documentation built on May 23, 2019, 9:37 a.m.