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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: | 1.3-7 |
Depends: | R (≥ 2.10) |
Imports: | MASS, nlme, cluster, AlgDesign, graphics |
Published: | 2023-10-22 |
DOI: | 10.32614/CRAN.package.agricolae |
Author: | Felipe de Mendiburu |
Maintainer: | Felipe de Mendiburu <fmendiburu at lamolina.edu.pe> |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
NeedsCompilation: | no |
Materials: | NEWS |
In views: | Agriculture, Distributions, ExperimentalDesign, TeachingStatistics |
CRAN checks: | agricolae results |
Reference manual: | agricolae.pdf |
Vignettes: |
agricolae tutorial |
Package source: | agricolae_1.3-7.tar.gz |
Windows binaries: | r-devel: agricolae_1.3-7.zip, r-release: agricolae_1.3-7.zip, r-oldrel: agricolae_1.3-7.zip |
macOS binaries: | r-release (arm64): agricolae_1.3-7.tgz, r-oldrel (arm64): agricolae_1.3-7.tgz, r-release (x86_64): agricolae_1.3-7.tgz, r-oldrel (x86_64): agricolae_1.3-7.tgz |
Old sources: | agricolae archive |
Reverse depends: | GerminaR |
Reverse imports: | agricolaeplotr, ammistability, biometryassist, doebioresearch, EvaluateCore, grapesAgri1, inti, LorMe, MAIT, MetAlyzer, NSM3, rPAex, visvaR |
Reverse suggests: | agridat, augmentedRCBD, datana, industRial, jmuOutlier, meconetcomp, mecoturn, microeco, pcutils, pwr4exp, Sleuth2, Sleuth3, structToolbox |
Please use the canonical form https://CRAN.R-project.org/package=agricolae to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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