agriTutorial
: Tutorial Analysis of Some Agricultural ExperimentsExample software for the analysis of data from designed experiments, especially agricultural crop experiments. The basics of the analysis of designed experiments are discussed using real examples from agricultural field trials. A range of statistical methods using a range of R statistical packages are exemplified . The experimental data is made available as separate data sets for each example and the R analysis code is made available as example code. The example code can be readily extended, as required.
The package can be installed from CRAN as follows:
install.packages("agriTutorial", dependencies = TRUE)
The development version can be installed from github as follows:
if (!require("remotes")) install.packages("remotes")
remotes::install_github("myaseen208/agriTutorial")
For a detailed tutorial (vignette) on how to used this package type:
browseVignettes(package = "agriTutorial")
The vignette for the latest version is also available online.
agriTutorial
To cite the methods in the package use:
citation("agriTutorial")
To cite the R package 'agriTutorial' in publications use:
Rodney Edmondson, Hans-Peter Piepho, and Muhammad Yaseen (2020).
agriTutorial: Tutorial Analysis of Some Agricultural Experiments. R
package version 1.0.0 ,
https://myaseen208.github.io/agriTutorial/https://cran.r-project.org/package=agriTutorial.
A BibTeX entry for LaTeX users is
@Manual{,
title = {agriTutorial: Tutorial Analysis of Some Agricultural Experiments },
author = {{Rodney Edmondson} and {Hans-Peter Piepho} and {Muhammad Yaseen}},
year = {2020},
note = {R package version 1.0.0},
note = {https://myaseen208.github.io/agriTutorial/ },
note = {https://cran.r-project.org/package=agriTutorial},
}
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.