AgroR: R Package for Agricultural Experimental Design Analysis

AgroR is an R software package for statistical analysis and visualization in agricultural sciences. It performs analysis of variance for common experimental designs, tests assumptions, conducts multiple comparisons, and generates specialized graphics. The package was authored by Gabriel Danilo Shimizu and is documented in a 2025 publication.

Use Cases

• Analyze variance for completely randomized or randomized block designs based on described statistical methods.
• Perform multiple comparison tests of means for agricultural trial results based on the package's core functionality.
• Generate creative graphics for visualizing agricultural data based on the description of its plotting capabilities.
• Fit generalized linear models for binomial or Poisson data from agricultural experiments based on the referenced methodology.

Strengths

• Implements statistical methods from specific, cited textbooks and publications (e.g., Pimentel-Gomes 2009, Ferreira 2018).
• Supports a range of common agricultural experimental designs including factorial and subdivided plot schemes.
• Includes functionality for both parametric and nonparametric statistical tests as described.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Gabriel Danilo Shimizu

Collection Method

Software package for statistical computation.