Available Tools
Click any tool below to open it in a new tab
One-Way ANOVA Analyzer
Compare means across three or more treatment groups
- One-way ANOVA with F-statistic and p-value
- Tukey, Bonferroni, Holm, or LSD adjustment
- Bar chart with SE error bars
- Compact Letter Display (CLD) — a = highest mean
- Pairwise comparisons table
- Upload CSV / Excel or paste data
- Download plot (PNG / PDF / SVG)
- 8 color palettes + custom color picker
t-Test Analyzer
Compare means between two groups or against a hypothesis
- Independent samples (Welch's or Student's)
- Paired samples t-test
- One-sample t-test vs. hypothesized mean
- Long format and wide format data support
- Significance bracket on plot with p-value
- Cohen's d effect size with interpretation
- Shapiro-Wilk normality + Levene's variance test
- Bar, box, violin, and dot plot options
How to Use
Each tool follows the same simple workflow
Prepare Your Data
Format as two columns: Treatment and Response. Download a template from the app's Data Format Guide tab.
Upload or Paste
Upload a CSV or Excel file, or paste data directly. Select your treatment and response columns.
Configure Settings
Choose your test type, significance level, multiple comparison method, and plot style.
Run Analysis
Click the Run button. Results appear instantly across multiple tabs.
Download Results
Download your publication-quality plot (PNG/PDF/SVG) and results as a CSV file.
About the Developer
Dr. Purushothaman Natarajan, PhD
Professor of Bioinformatics and Statistics | Department of Agriculture, Food and Resource Sciences | School of Agricultural and Natural Sciences | University of Maryland Eastern Shore, Princess Anne, MD 21854
Dr. Natarajan's research spans plant genomics, bioinformatics, and agricultural statistics, with active projects in grapevine chromatin architecture (Hi-C), quinoa heat stress tolerance, RNA-seq transcriptomics, and metagenomics. He develops open-source statistical tools to support research and teaching at UMES, an 1890 land-grant HBCU institution.
These tools were developed using R and Shiny to make rigorous statistical analysis accessible to students and researchers in agricultural and biological sciences — no programming experience required.
How to Cite
If you use these tools in your research or teaching, please cite as:
📝 Suggested Citation
Natarajan, P. (2025). Statistical Analysis Tools for Agricultural Research [Web application]. Department of Agriculture, Food and Resource Sciences, University of Maryland Eastern Shore. Available at: https://pnatarajan.shinyapps.io/anova-analyzer and https://pnatarajan.shinyapps.io/ttest-analyzer