noise.est: Estimation of noise level
In kimsche/MetaboMate: All you need for NMR-based metabolic profiling with R!

Description Usage Arguments Details Value Author(s) See Also

Estimation of noise level

1	noise.est(NMR, ppm, where = c(14.6, 14.7))

`NMR`	Input matrix with rows representing spectra.
`ppm`	ppm vector with its length equals to `ncol(X)`.
`where`	Signal free region across all NMR spectra (see Details).

Estimation of noise level in NMR spectra. This is useful for quality control checks (e.g., before and after spectral normalisation). Noise estimation requires a signal-free ppm region across all spectra, usually this is at the extreme ends or the spectrum. This function requires a minimum number of 50 data points to robustly estimate noise levels.

Returned is a vector of noise levels for each spectrum.

Torben Kimhofer tkimhofer@gmail.com

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kimsche/MetaboMate documentation built on Aug. 8, 2020, 1:14 a.m.