CV

From MKdescr v0.6 by Matthias Kohl

Compute CV

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

Keywords: univar

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.

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

# NOT RUN {
## 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)
# }

Documentation reproduced from package MKdescr, version 0.6, License: LGPL-3

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CV