augmentedRCBD
: Analysis of Augmented Randomised Complete Block Designs Functions for analysis of data generated from experiments in augmented randomised complete block design according to Federer, W.T. (1961) doi:10.2307/2527837. Computes analysis of variance, adjusted means, descriptive statistics, genetic variability statistics etc. Further includes data visualization and report generation functions.
The package can be installed from CRAN as follows:
The development version can be installed from github as follows:
# Install development version from Github
if (!require('devtools')) install.packages('devtools')
devtools::install_github("aravind-j/augmentedRCBD")
For a detailed tutorial (vignette) on how to used this package type:
The vignette for the latest version is also available online.
To know whats new in this version type:
augmentedRCBD
To cite the methods in the package use:
To cite the R package 'augmentedRCBD' in publications use:
Aravind, J., Mukesh Sankar, S., Wankhede, D. P., and Kaur, V. (2021). augmentedRCBD: Analysis of Augmented Randomised
Complete Block Designs. R package version 0.1.5,
https://aravind-j.github.io/augmentedRCBD/https://cran.r-project.org/package=augmentedRCBD.
A BibTeX entry for LaTeX users is
@Manual{,
title = {augmentedRCBD: Analysis of Augmented Randomised Complete Block Designs},
author = {J. Aravind and S. {Mukesh Sankar} and Dhammaprakash Pandhari Wankhede and Vikender Kaur},
year = {2021},
note = {R package version 0.1.5},
note = {https://aravind-j.github.io/augmentedRCBD/},
note = {https://cran.r-project.org/package=augmentedRCBD},
}
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.