CV {MKdescr}

Compute CV

Description

The functions compute coefficient of variation (CV) as well as two robust versions of the CV.

Usage

CV(x, na.rm = FALSE)
medCV(x, na.rm = FALSE, constant = 1/qnorm(0.75))
iqrCV(x, na.rm = FALSE, type = 7, constant = 2*qnorm(0.75))

Arguments

x

numeric vector with positive numbers.

na.rm

logical. Should missing values be removed?

type

an integer between 1 and 9 selecting one of nine quantile algorithms; for more details see quantile.

constant

standardizing contant; see mad and sIQR, respectively.

Details

The functions compute the (classical) CV as well as two robust variants.

medCV uses the (standardized) MAD instead of SD and median instead of mean.

iqrCV uses the (standardized) IQR instead of SD and median instead of mean.

Value

CV value.

Author(s)

Matthias Kohl [e-mail]

References

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

Examples

## 5% outliers
out <- rbinom(100, prob = 0.05, size = 1)
sum(out)
x <- (1-out)*rnorm(100, mean = 10, sd = 2) + out*25
CV(x)
medCV(x)
iqrCV(x)