CoefQuartVar: R6 Coefficient of Quartile Variation (cqv)

In cvcqv: Coefficient of Variation (CV) with Confidence Intervals (CI)

Description

The R6 class CoefQuartVar for the coefficient of quartile variation (cqv)

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 Quartile Variation

cqv is a measure of relative dispersion that is based on interquartile range (iqr). Since cqv is unitless, it is useful for comparison of variables with different units. It is also a measure of homogeneity [1].

References

[1] Bonett, DG., 2006, Confidence interval for a coefficient of quartile variation, Computational Statistics & Data Analysis, 50(11), 2953-7, DOI: http://doi.org/10.1016/j.csda.2005.05.007

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
)
CoefQuartVar$new(x)$est()
cqv_x <- CoefQuartVar$new(x, digits = 2)
cqv_x$est()
R6::is.R6(cqv_x)

Example output

Loading required package: dplyr

Attaching package: ‘dplyr’

The following objects are masked from ‘package:stats’:

    filter, lag

The following objects are masked from ‘package:base’:

    intersect, setdiff, setequal, union

[1] 45
[1] 45.68
[1] TRUE

cvcqv documentation built on Aug. 6, 2019, 5:10 p.m.