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:
# Install from CRAN
install.packages('augmentedRCBD', dependencies=TRUE)
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:
browseVignettes(package = 'augmentedRCBD')
The vignette for the latest version is also available online.
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augmentedRCBD
To cite the methods in the package use:
citation("augmentedRCBD")
'augmentedRCBD' in publications use:
To cite the R package
V. ().
Aravind, J., Mukesh Sankar, S., Wankhede, D. P., and Kaur, : Analysis of Augmented Randomised Complete Block
augmentedRCBD0.1.7.9000,
Designs. R package version ://aravind-j.github.io/augmentedRCBD/https://cran.r-project.org/package=augmentedRCBD.
https
for LaTeX users is
A BibTeX entry
@Manual{,
= {augmentedRCBD: Analysis of Augmented Randomised Complete Block Designs},
title = {J. Aravind and S. {Mukesh Sankar} and Dhammaprakash Pandhari Wankhede and Vikender Kaur},
author = {R package version 0.1.7.9000 https://aravind-j.github.io/augmentedRCBD/ https://cran.r-project.org/package=augmentedRCBD},
note
}
-source software implements academic research by the
This free and open-workers. If you use it, please support the project by
authors and co citing the package.