agricolae-package: 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.
Original idea, support and data sets came from CIP (International Potato Center)Details
ll{
Package: agricolae
Type: Package
Version: 1.2-0
Date: 2014-06-30
License: GPL
}
Planning of field experiments: lattice, factorial, RCBD, CRD, Latin Square,
Graeco, BIB, Alpha design, Cyclic, augmented block, split and strip plot
Designs. Comparison of multi-location trials: AMMI Stability (biplot, triplot),
Comparison between treatments: LSD, Bonferroni and other p-adjust, HSD, Waller,
Student Newman Keuls SNK, Duncan, 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: *.freqReferences
{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}