agricolae: Statistical Procedures for Agricultural Research

Agricolae was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, mention Systems Engineering, Faculty of Industrial and Systems Engineering, National Engineering University (UNI), Lima-Peru. Original idea, support and data sets came from CIP (International Potato Center). Agricolae offers extensive functionality on experimental design especially for agricultural and plant breeding experiments, which can also be useful for other purposes. It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, augmented block, factorial, split and strip plot designs. There are also various analysis facilities for experimental data, e.g. treatment comparison procedures and several non-parametric tests comparison, biodiversity indexes and consensus cluster.

Version: 1.2-1
Imports: klaR, MASS, nlme, cluster, spdep
Published: 2014-09-01
Author: Felipe de Mendiburu
Maintainer: Felipe de Mendiburu <f.mendiburu at cgiar.org>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: http://tarwi.lamolina.edu.pe/~fmendiburu
NeedsCompilation: no
Materials: NEWS
In views: Distributions, ExperimentalDesign
CRAN checks: agricolae results

Downloads:

Reference manual: agricolae.pdf
Vignettes: agricolae tutorial
Package source: agricolae_1.2-1.tar.gz
Windows binaries: r-devel: agricolae_1.2-1.zip, r-release: agricolae_1.2-1.zip, r-oldrel: agricolae_1.2-1.zip
OS X Snow Leopard binaries: r-release: agricolae_1.2-1.tgz, r-oldrel: agricolae_1.2-1.tgz
OS X Mavericks binaries: r-release: agricolae_1.2-1.tgz
Old sources: agricolae archive

Reverse dependencies:

Reverse depends: quipu, RcmdrPlugin.StatisticalURV
Reverse imports: NSM3, paleofire
Reverse suggests: agridat, RGraphics