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lewisoepwqi
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root-analysis

Automates plant root-length data analysis with ANOVA and Tukey HSD.

2|Updated Jan 29, 2026
Search Tags:#data-visualization#anova#biostatistics#root-length#tukey-hsd#plant-phenotype
One-click install
npx skills add https://github.com/lewisoepwqi/scientific_nini --skill root-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: root-analysis
Source: https://github.com/lewisoepwqi/scientific_nini/tree/main/.nini/skills/root-analysis
Command: npx skills add https://github.com/lewisoepwqi/scientific_nini --skill root-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, jinja2, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Plant root-length data often require manual, time-consuming statistics and plotting. This skill automates root-length data analysis using ANOVA and Tukey HSD, and provides publication-grade visuals to compare samples and treatments.

Core Features & Use Cases

  • Automated one-way ANOVA per treatment group with post-hoc Tukey HSD and letter displays for clear interpretation.
  • Publication-quality root-length plots and ratio analyses to compare treatments like Mock vs ISX across samples.
  • Batch analysis and per-file project generation with HTML/PDF reports for large datasets and multi-experiment studies.
  • Python and R project templates to accommodate user environments and dependencies.

Quick Start

Provide a root-length data file in CSV or Excel format to start the analysis.

Frequently Asked Questions about root-analysis

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

FAQPage Schema
How do I automate plant root-length analysis with ANOVA and Tukey HSD for multiple treatments?▼

Batch root-length analysis processes multiple files simultaneously to generate per-file project folders containing statistical results, ratio analyses, and HTML or PDF reports for large-scale multi-experiment plant phenotype studies.

Can I use Python and R templates for biostatistics root-length data visualization?▼

Root-length data requires CSV or Excel input files containing three mandatory columns: sample, treatment (which must include a Mock control group), and length as a numeric value for valid ANOVA computation.

Does this ANOVA tool support batch processing for multiple root phenotype CSV files?▼

Batch root-length analysis processes multiple files simultaneously to generate per-file project folders containing statistical results, ratio analyses, and HTML or PDF reports for large-scale multi-experiment plant phenotype studies.

What is the required data format for running Tukey HSD post-hoc tests on root-length measurements?▼

Root-length data requires CSV or Excel input files containing three mandatory columns: sample, treatment (which must include a Mock control group), and length as a numeric value for valid ANOVA computation.

How do I generate publication-grade charts comparing Mock vs ISX treatments across plant samples?▼

Generate publication-quality root-length plots and ratio analyses by inputting your sample data containing treatment groups like Mock and ISX, which automatically produces visuals with letter displays for clear interpretation.

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