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statistical-analysis

Run paired t-tests and repeated-measures ANOVA on biomechanical datasets with Excel reports.

Updated Aug 27, 2026
Search Tags:#reproducibility#biomechanics#data-processing#statistical-analysis#paired-t-test#rm-anova#excel-output
One-click install
npx skills add https://github.com/Rukkha1024/elderly-balance-assessment --skill statistical-analysis-rukkha1024
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: statistical-analysis
Source: https://github.com/Rukkha1024/elderly-balance-assessment/tree/main/.claude/skills/statistical-analysis
Command: npx skills add https://github.com/Rukkha1024/elderly-balance-assessment --skill statistical-analysis-rukkha1024

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires polars, pandas, numpy, scipy, statsmodels, xlsxwriter.

What problem does it solve?

Automates rigorous statistical analysis of biomechanical data by providing paired t-tests and repeated-measures ANOVA, with Excel-formatted output ready for reporting.

Core Features & Use Cases

  • Paired t-tests to compare conditions and tasks with optional Bonferroni correction.
  • Repeated-measures ANOVA for within-subject designs across multiple muscles and tasks.
  • Excel output with standardized formatting, descriptive statistics, and publish-ready results.
  • Hybrid Python + Excel formula workflow to support auto-updating analyses and templates.
  • Use cases include EMG, force, and kinematics data requiring objective comparisons and clear reporting.

Quick Start

Provide a dataset and specify the dependent variable and condition columns; the AI will infer the design, run the analyses, and generate a complete Excel report.

Frequently Asked Questions about statistical-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run a repeated-measures ANOVA on EMG data and export results to Excel?▼

To run paired t-tests with Bonferroni correction on biomechanical datasets, configure the dependent variable and condition columns, and the analysis will output corrected pairwise comparisons alongside descriptive statistics in an Excel report.

Can I use this for force and kinematic data with multiple within-subject factors?▼

Yes, this handles force and kinematic datasets with multiple within-subject factors by applying repeated-measures ANOVA and paired t-tests to compare conditions across multiple muscles and tasks.

What is the best way to automate statistical analysis reporting for biomechanics?▼

The best way to automate biomechanics statistical reporting is using a hybrid Python and Excel formula workflow that runs analyses and produces publish-ready Excel sheets containing methods, descriptives, and results.

Does the Excel statistical output support auto-updating templates?▼

Yes, the Excel output supports auto-updating analyses and templates through a hybrid Python and Excel formula workflow, ensuring reproducible descriptives and results sheets.

How do I structure biomechanical data for paired t-tests and repeated-measures ANOVA?▼

Structure your biomechanical data with explicit columns for the dependent variable and conditions, including subjects and within-subject factors, so the analysis can accurately infer the experimental design.

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