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moreThanANOVA: A user-friendly Shiny/R application for exploring and comparing data with interactive visualization.

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This study introduces moreThanANOVA, a user-friendly R application for automatic statistical analysis. It simplifies complex data exploration, including distribution and significance tests, making advanced statistics accessible to non-experts.

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Area of Science:

  • Statistics
  • Data Science
  • Bioinformatics

Background:

  • Comparing means across multiple groups requires complex statistical analysis.
  • Existing tools often demand significant statistical knowledge and coding skills.
  • Data frequently violates assumptions like normal distribution and equal variance, leading to inaccurate results.

Purpose of the Study:

  • To develop an automatic, user-friendly application for statistical analysis.
  • To integrate distribution tests, significance tests, and post-hoc analysis.
  • To provide accessible tools for researchers lacking statistical expertise.

Main Methods:

  • Developed a Shiny/R application named moreThanANOVA.
  • Integrated automatic normal distribution and homogeneity of variance tests.
  • Included correlative significance tests and customizable post-hoc analysis.

Main Results:

  • moreThanANOVA provides an interactive and cloud-based platform.
  • The application automates complex statistical tests, reducing errors and time.
  • Users can generate publication-ready graphs for further analysis.

Conclusions:

  • moreThanANOVA empowers novice users to perform advanced statistical analyses.
  • The application enhances the credibility and efficiency of statistical analysis.
  • It addresses the need for accessible and reliable statistical tools in research.