Normalization Method: Maximum Intensity of Set

Called internally by normSpectra. Normalizes the intensity data of spectra to a scale of 0,1, where 1 is the single most intense peak of the spectral set; does so against a specified m/z. Capable of normalizing 1-6 spectra at once.

norm_custimp(dat, mass_dat, norm_mz, spectra_cols, showHI = FALSE)

Arguments

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.
norm_mz	Numeric m/z reference to be normalized against.
spectra_cols	A character string; the names of the column in dat containing the intensity data for the spectrs to be analyzed.
showHI	A Boolean variable; clipping argument for results greater than 1 after normalization.

Value

Returns a new data frame including the original m/z data and normalized intensity data of each input spectrum.

References

https://github.com/wesleyburr/subMaldi

Author

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

See also

normSpectra

Examples

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

## Normalize the intensity data of two samples to the maximum of the blank
ex <- normSpectra(dat = Master2, mass_dat = "full_mz", norm_mz = 255.23, 
                  method = "custom_imprecise", spectra_cols = c("Blank1", "Before1", "Before2"))