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R code to process, analyze and visualize experimental data, as well as perform statistical analyses and simulations for our paper.

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PanosChatzi/erythrocyte_study_statistical_analyses

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Erythrocyte glycolytic and redox metabolism affects muscle oxygenation and exercise performance: a randomized double-blind crossover study in humans

This repository corresponds to our paper, titled "Erythrocyte glycolytic and redox metabolism affects muscle oxygenation and exercise performance: a randomized double-blind crossover study in humans", where we investigated the role of erythrocyte redox metabolism in exercise fatigue using in vivo, ex vivo and computational analyses.

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Repository structure

  • analysis_docs/

    • Contains Quarto Markdown (.qmd) files documenting:
      • 01_Data_Preparation.qmd: Data cleaning, processing and reshaping from wide to long format for analysis.
      • 02_Figures.qmd: Code for visualizing the data in figures and panels.
      • 03_Statistics.qmd: Statistical analyses (repeated measures anova, post-hocs, parametric and non-parametric t-tests, and effect sizes).
  • data/

    • Includes raw and processed data files:
      • complete_database.csv: Dataset in wide format in CSV.
      • tidyData.RData: Data in tidy/long format.
    • README.md: Documentation for the data files.
  • quantitative_analysis/

    • Scripts and results for quantitative analysis:
      • ODC plots.R: R script for calculating p50 values and plotting Oxygen Dissociation Curves.
      • p50_analysis.R: Statistical analysis of p50 values.
  • r_docs/

    • Custom helper functions for statistics:
      • MyCohensEffSizes.R: Functions for calculating Cohen's effect sizes.
      • MyStatsFunctions.R: Summary statistics functions.
    • README.md: Documentation for the R scripts.

License

This project uses a CC-BY 4.0 license. All code is additionally licensed under an MIT license.

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R code to process, analyze and visualize experimental data, as well as perform statistical analyses and simulations for our paper.

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