SNR: Compute SNR

In MKmisc: Miscellaneous Functions from M. Kohl

Compute SNR

Description

The functions compute SNR as well as two robust versions of the SNR.

Usage

SNR(x, na.rm = FALSE)

Arguments

x	numeric vector.
na.rm	logical. Should missing values be removed?

Details

The functions compute the (classical) coefficient of variation as well as two robust variants.

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

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

Value

SNR 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
SNR(x)
medSNR(x)
iqrSNR(x)

MKmisc documentation built on Nov. 20, 2022, 1:05 a.m.