Env-Wise Correlation Lab | R-Shiny App for Multi-Environment Data Analysis

Env-Wise Correlation Lab is a lightweight R-Shiny based analytical tool developed to simplify correlation analysis for multi-environment experimental data.

In many research projects—especially in agriculture and biological sciences—data are recorded across multiple locations or environments, often stored in separate Excel sheets. Performing environment-wise correlation manually is time-consuming and prone to formatting and interpretation errors. This app was built to address that exact gap.

Key capabilities:
• Imports multi-sheet Excel files (each sheet treated as one environment)
• Automatically calculates Pearson correlation coefficients
• Generates a clear **significance matrix (ns, *, **, *)
• Produces pattern-based correlation heatmaps for quick interpretation
• Allows easy export of tables and figures for thesis or publication use
• Requires no coding from the user

The app is particularly useful for students, researchers, and data analysts working with genotype means, trait relationships, or multi-location trials, where understanding how traits behave across environments is critical.

This tool is not meant to replace advanced statistical workflows, but to save time, improve clarity, and reduce repetitive manual work during exploratory and reporting stages of analysis.

💲 Available for $10 (one-time)
📩 Demo and access available on request.