MKdescr (version 0.8)

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)
medSNR(x, na.rm = FALSE, constant = 1/qnorm(0.75))
iqrSNR(x, na.rm = FALSE, type = 7, constant = 2*qnorm(0.75))

Value

SNR value.

Arguments

x

numeric vector.

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.

Author

Matthias Kohl

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

## 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)