# CV

From MKdescr v0.5
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)`

##### Arguments

- x
numeric vector with positive numbers.

- na.rm
logical. Should missing values be removed?

##### 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 0.5, License: LGPL-3*

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