agricolae: Statistical Procedures for Agricultural Research

Original idea was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, National Engineering University (UNI), Lima-Peru. Some experimental data for the examples come from the CIP and others research. 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: 1.2-3
Imports: klaR, MASS, nlme, cluster, spdep, AlgDesign, graphics
Published: 2015-10-06
Author: Felipe de Mendiburu
Maintainer: Felipe de Mendiburu <f.mendiburu at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
Materials: NEWS
In views: Distributions, ExperimentalDesign
CRAN checks: agricolae results


Reference manual: agricolae.pdf
Vignettes: agricolae tutorial
Package source: agricolae_1.2-3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: agricolae_1.2-2.tgz, r-oldrel: agricolae_1.2-1.tgz
OS X Mavericks binaries: r-release: agricolae_1.2-3.tgz
Old sources: agricolae archive

Reverse dependencies:

Reverse depends: quipu
Reverse imports: NSM3
Reverse suggests: agridat, paleofire, RGraphics