Agricolae: Statistical Procedures for Agricultural Research Experiments

An R package for statistical procedures in agricultural research, originally presented in a Master's thesis at the National Engineering University (UNI) in Lima, Peru. It offers functionality for planning experimental designs like lattice, Alpha, Cyclic, and factorial designs. The package also provides analysis facilities for treatment comparisons, non-parametric tests, and biodiversity indexes.

Use Cases

• Plan a lattice or Alpha design for a field trial based on the described design support.
• Compare treatment effects using the provided statistical comparison procedures.
• Calculate biodiversity indexes for ecological or agricultural survey data.
• Perform consensus cluster analysis on experimental results.
• Design and analyze a split-plot or strip-plot experiment for agricultural testing.

Strengths

• Supports planning for at least 10 specific experimental designs, including lattice and factorial designs.
• Provides analysis facilities for treatment comparisons, several non-parametric tests, and biodiversity indexes.
• License is Open Access (gold), indicating high reusability.

Limitations

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

Provenance

Source

Felipe de Mendiburu

Collection Method

Originally developed for a Master's thesis; example data comes from sources like the International Potato Center (CIP) and other research.

Geography

Examples originate from research in Peru and other locations, but specific coverage is not defined.