spectrapepper

Contents:

  • spectrapepper
  • Functions
  • Examples
  • Contributing
spectrapepper
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Contents:

  • spectrapepper
    • Introduction
  • Functions
    • alsbaseline()
    • areacalculator()
    • asymmetry()
    • autocorrelation()
    • avg()
    • bincombs()
    • bspbaseline()
    • classify()
    • cmscore()
    • confusionmatrix()
    • cosmicdd()
    • cosmicmed()
    • cosmicmp()
    • count()
    • crosscorrelation()
    • decbound()
    • decdensity()
    • deconvolution()
    • derivative()
    • evalgrau()
    • fwhm()
    • gaussfit()
    • grau()
    • groupscores()
    • interpolation()
    • intersections()
    • isaxis()
    • issinglevalue()
    • load()
    • lorentzfit()
    • lowpass()
    • mahalanobis()
    • makeaxisdivs()
    • makeaxisstep()
    • mdscore()
    • median()
    • mergedata()
    • minmax()
    • moveavg()
    • normsum()
    • normtoglobalmax()
    • normtoglobalsum()
    • normtomax()
    • normtopeak()
    • normtoratio()
    • normtovalue()
    • peakfinder()
    • peaksimilarity()
    • pearson()
    • plot2dml()
    • polybaseline()
    • regression()
    • representative()
    • reverse()
    • rwm()
    • sdev()
    • shiftref()
    • shuffle()
    • spearman()
    • stackplot()
    • studentfit()
    • subtractref()
    • trim()
    • typical()
    • valtoind()
    • vectortoimg()
    • voigtfit()
  • Examples
    • Example 1: Normalization methods
    • Example 2: Spectral pre-processing
    • Example 3: Pearson, Spearman, and Grau analyses
    • Example 4: Machine learning preparation
    • Example 5: Curve fittings
    • Example 6: Spectroscopic data set macro analysis
    • Example 7: Deconvolution of a spectra
  • Contributing
    • Report Bugs
    • Fix Bugs
    • Implement Features
    • Write Documentation
    • Submit Feedback
    • Get Started!
    • Pull Request Guidelines

Indices and tables

  • Index

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