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ChristianGoueguel/README.md

:name status badge :packages status badge

About

Hi there, and welcome to my GitHub profile! I'm a research scientist with a passion for optics, laser spectroscopy, chemometrics, and data science. In recent years I have been working on improving laser-based analytical instruments for rapid and accurate spectrochemical analysis. Along the way, I've also developed a few R and Python packages for spectral data analysis—feel free to check them out!

Areas of Interest

  • Laser Spectroscopy: Innovating laser-based methods for spectrochemical analysis of materials.
  • Spectroscopic Data Analysis: Developing machine learning models for accurate spectroscopic data interpretation and quantitative analysis.
  • Software Development: Building spectral data preprocessing and visualization tools.

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  1. HotellingEllipse HotellingEllipse Public

    The HotellingEllipse package helps draw the Hotelling's T-squared ellipse on a PCA or PLS score scatterplot by computing the Hotelling's T-squared statistic and providing the ellipse's coordinates,…

    R 6

  2. ConfidenceEllipse ConfidenceEllipse Public

    The ConfidenceEllipse package provides functions for computing the coordinate points of confidence ellipses and ellipsoids for a given bivariate and trivariate dataset, at user-defined confidence l…

    R

  3. specProc specProc Public

    The specProc package is a collection of preprocessing tools for spectroscopy data analysis.

    R 4 1

  4. pyEllipse pyEllipse Public

    Python package for creating and analyzing confidence ellipses, including Hotelling's T-squared ellipses for multivariate statistical analysis and data visualization.

    Jupyter Notebook

  5. etalon-fringe-explorer etalon-fringe-explorer Public

    Forked from goueguel/etalon-fringe-explorer

    An interactive educational web app for exploring optical etalon fringes, Airy transmission, free spectral range, finesse, and thermo-optic drift effects in a simple browser-based simulation.

    HTML

  6. statistical-tests statistical-tests Public

    Dependency-free JavaScript statistics engine (t-tests, ANOVA, Welch, Kruskal–Wallis, Friedman, post-hocs) verified against SciPy, plus a teaching app that shows how the test gets chosen.

    HTML