agricolae-package: Statistical Procedures for Agricultural Research
In agricolae: Statistical Procedures for Agricultural Research
agricolae-package 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: 1.3-7
Date: 2023-10-22
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
agricolae documentation built on Oct. 23, 2023, 1:06 a.m.
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| agricolae-package | 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: | 1.3-7 |
| Date: | 2023-10-22 |
| 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
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