normMethod_RMS: Normalize Spectral Intensity by Root Mean Square
In wesleyburr/subMaldi: Organization and Processing of MALDI-MS Datasets

Description Usage Arguments Value Author(s) References See Also Examples

Called internally by normSpectra. Normalizes the intensity data of each input spectrum by dividing each peak's intensity by RMS error. Capable of normalizing 6 spectra to the same m/z value at once.

1	norm_RMS(dat, mass_dat, spectra_cols)

`dat`	The name of the spectral data frame, containing `m/z` data in the first column and spectral intensity data in subsequent columns.
`mass_dat`	A character string; the name of the column in `dat` containing the m/z data for the spectrum.
`spectra_cols`	A character string; the names of the column in `dat` containing the intensity data for the spectrs to be analyzed.

Returns a new data frame including the original m/z data and normalized intensity data.

Kristen Yeh <kristenyeh@trentu.ca> Wesley Burr <wesleyburr@trentu.ca>

https://github.com/wesleyburr/subMaldi

normSpectra

## Load sample dataset "Master2.rda"
data("Master2")

## Normalize spectrum "Before1" using the RMS method
ex <- normSpectra(dat = Master2, mass_dat = "full_mz", method = "RMS", spectra_cols = "Before1")