MKdescr (version 0.4)

SNR: Compute SNR

Description

The functions compute the signal to noise ration (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?

Value

SNR value.

Details

The functions compute the (classical) SNRas 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.

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
SNR(x)
medSNR(x)
iqrSNR(x)
# }

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