R: Statistical Procedures for Agricultural Research

agricolae-package {agricolae} | R Documentation

## Statistical Procedures for Agricultural Research

### Description

This package contains functionality for the Statistical Analysis of experimental designs applied specially for field experiments in agriculture and plant breeding.

### Details

Package: | agricolae
Type: | Package
Version: | 1.2-8
Date: | 2017-09-12
License: | GPL

Planning of field experiments: lattice, factorial, RCBD, CRD, Latin Square, Youden, Graeco, BIB, Alpha design, Cyclic, augmented block, split and strip plot Designs. Comparison of multi-location trials: AMMI, Index AMMI Stability (biplot, triplot), comparison between treatments: LSD, Bonferroni and other p-adjust, HSD, Waller, Student Newman Keuls SNK, Duncan, REGW, Scheffe; Non parametric tests: Kruskal, Friedman, Durbin, Van Der Waerden, Median. Analysis of genetic experiments: North Carolina designs, LinexTester, Balanced Incomplete Block, Strip plot, Split-Plot, Partially Balanced Incomplete Block, analysis Mother and baby trials (see data RioChillon). Resampling and simulation: resampling.model, simulation.model, montecarlo, lateblight Simulator for potato. Ecology: Biodiversity Index, Path Analysis. Soil Uniformity: Smith's Index. Cluster Analysis: Consensus Cluster. Descriptive statistics utilities: *.freq

### Author(s)

Felipe de Mendiburu Statistical Engineer Master in Systems Engineering Professor of Applied Statistics

Maintainer: Felipe de Mendiburu <fmendiburu@lamolina.edu.pe>

### References

De Mendiburu, Felipe (2009). Una herramienta de analisis estadistico para la investigacion agricola. Tesis. Universidad Nacional de Ingenieria (UNI-PERU).

Universidad Nacional Agraria La Molina, Lima-PERU. Facultad de Economia y Planificacion Departamento Academico de Estadistica e Informatica

[Package agricolae version 1.2-8 Index]