View source: R/preprocessing.R
snv | R Documentation |
SNV transformation of the row observations (e.g. spectra) of a dataset. By default, each observation is centered on its mean and divided by its standard deviation.
snv(X, center = TRUE, scale = TRUE)
X |
X-data ( |
center |
Logical. If |
scale |
Logical. If |
A matrix of the transformed data.
data(cassav)
X <- cassav$Xtest
Xp <- snv(X)
oldpar <- par(mfrow = c(1, 1))
par(mfrow = c(1, 2))
plotsp(X, main = "Signal")
plotsp(Xp, main = "Corrected signal")
abline(h = 0, lty = 2, col = "grey")
par(oldpar)
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