moreThanANOVA

moreThanANOVA performs statistical comparison of group means and automated assumption testing (normal distribution and homogeneity of variance) to support analysis of datasets where parametric assumptions may be violated.

Key Features:

• Distribution and variance testing: Automates normal distribution tests and homogeneity of variance assessments to validate parametric assumptions.
• Group mean comparisons: Compares means among multiple groups to assess factors influencing relative indices.
• Correlative significance testing: Performs correlative significance tests for statistical evaluation of relationships.
• Customizable post-hoc analysis: Provides configurable post-hoc analyses to balance Type I and Type II error rates.

Scientific Applications:

• Nonparametric-assumption scenarios: Applicable when data may not conform to normal distribution or homogeneity of variance assumptions.
• Multigroup comparison studies: Supports comparisons of means across multiple groups to identify differences and factors affecting relative indices.

Methodology:

Implemented as a Shiny/R application that automates normal distribution and homogeneity of variance tests, performs correlative significance testing, and provides customizable post-hoc analyses.