All functions

After1

Pairwise Spectral Data Frame from Sample

After2

Pairwise Spectral Data Frame from Sample

Before1

Pairwise Spectral Data Frame from Sample

Before2

Pairwise Spectral Data Frame from Sample

Blank1

Pairwise Spectral Data from Matrix Blank

Blank2

Pairwise Spectral Data from Matrix Blank

Master

Master Data Frame (High Resolution)

Master2

Master Data Frame (Low Resolution)

avgSpectra()

Average Spectral Replicates

baselineCorr()

Baseline Correction

bsline

Raw Spectrum with Irregular Baseline

createSpecDF()

Create Empty Spectral Data Frame

find_max()

Find Peak Maxima

find_max_set()

Find Most Intense Peak of a Set

mapSpectrum()

Map Spectrum to m/z Vector

norm_RMS()

Normalize Spectral Intensity by Root Mean Square

norm_TIC()

Normalize Peak Intensity by Total Ion Current

norm_custimp()

Normalization Method: Maximum Intensity of Set

norm_custom()

Normalize Peak Intensity to Custom m/z

norm_max()

Normalization Method: Maximum Intensity

norm_max_set()

Normalization Method: Maximum Intensity of Set

norm_median()

Normalize a Spectral Dataset to its Median Intensity

norm_quantile()

Normalize Distribution of Intensities

norm_rel_TIC()

Normalize Relative Peak Intensity by Total Ion Current

norm_stdev()

Normalize Spectrum to Standard Deviation of Noise

normSpectra()

Normalize Spectral Data

peakDet()

Peak Detection

plotSpectra()

Plot and Compare Spectra

read_ascii()

Read Raw ASCII Files

readcsvDir()

Import .csv Spectra from a Directory and Export

readcsvSpec()

Import a Single .csv Spectrum

rmveEmpty()

Remove Empty Rows

smoothSpectrum()

Smooth Noise in Spectrum

subMALDI-package

subMALDI: Organization and Processing of MALDI-MS Datasets

subSpectra()

Subtract Blank Peaks from Sample Spectra