jenniferlopes / agricolae Goto Github PK

1. Professor of the Academic Department of Statistics and Informatics of the Faculty of Economics and Planning.National University Agraria La Molina-PERU.

2. Department of Mathematics and Statistics, University of Agriculture Faisalabad, Pakistan.

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.

The package can be installed from CRAN as follows:

install.packages("agricolae", dependencies = TRUE)

The development version can be installed from github as follows:

if (!require("remotes")) install.packages("remotes")
remotes::install_github("myaseen208/agricolae")

• Introduction to agricolae

• The Not So Short Introduction to agricolae

• Descriptive Statistics with agricolae

• Experimental Designs with agricolae

• Multiple Comparisons with agricolae

• Non-parametric Comparisons with agricolae

• Graphics of the Multiple Comparisons with agricolae

• Stability Analysis with agricolae

• Special Functions in agricolae

To know whats new in this version type:

news(package = "agricolae")

CRAN page

Github page

Documentation website

To cite the R package agricolae in publications use:

citation("agricolae")

To cite the R package 'agricolae' in publications use:

  Felipe de Mendiburu and Muhammad Yaseen(2020).  agricolae:
  Statistical Procedures for Agricultural Research.R package version
  1.4.0 ,
  https://myaseen208.github.io/agricolae/https://cran.r-project.org/package=agricolae.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {agricolae: Statistical Procedures for Agricultural Research},
    author = {{Felipe de Mendiburu} and {Muhammad Yaseen}},
    year = {2020},
    note = {R package version 1.4.0},
    note = {https://myaseen208.github.io/agricolae/ },
    note = {https://cran.r-project.org/package=agricolae},
  }

This free and open-source software implements academic research by the
authors and co-workers. If you use it, please support the project by
citing the package.