The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
This tool proposes a new ranking algorithm that utilizes a "Y*WAASB" biplot generated by the 'metan'. The aim of the current package is to effectively distinguish the top-ranked genotypes in MET (Multi-Environmental Trials). For a detailed explanation of the process of obtaining "WAASB", "WAASBY" indices, and a "Y*WAASB" biplot, refer to the manual included in this package as well as the study by Olivoto & LĂșcio (2020) <doi:10.1111/2041-210X.13384>. In this context, "WAASB" refers to the "Weighted Average of Absolute Scores" provided by Olivoto et al. (2019) <doi:10.2134/agronj2019.03.0220>, which quantifies the stability of genotypes across different environments using linear mixed-effect models. To run the package, you need to extract the "WAASB" and "WAASBY" coefficients using the 'metan' and apply them. This tool utilizes PCA (Principal Component Analysis) and differentiates the entries which may be genotypes, hybrids, varieties, etc using "WAASB", "WAASBY", and a combination of the specified trait and WAASB index.
Version: | 0.2 |
Depends: | R (≥ 3.5) |
Imports: | ggplot2, graphics, factoextra, FactoMineR, lifecycle, mathjaxr |
Suggests: | car, metan, devtools, usethis, testthat, knitr, rmarkdown, roxygen2, spelling |
Published: | 2024-09-30 |
DOI: | 10.32614/CRAN.package.rYWAASB |
Author: | Ali Arminian [aut, cre, cph] |
Maintainer: | Ali Arminian <abeyran at gmail.com> |
BugReports: | https://github.com/abeyran/rYWAASB/issues |
License: | GPL-3 |
Copyright: | Ali Arminian |
URL: | https://github.com/abeyran/rYWAASB |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | rYWAASB results |
Reference manual: | rYWAASB.pdf |
Vignettes: |
rYWAASB-vignette (source, R code) |
Package source: | rYWAASB_0.2.tar.gz |
Windows binaries: | r-devel: rYWAASB_0.2.zip, r-release: rYWAASB_0.2.zip, r-oldrel: rYWAASB_0.2.zip |
macOS binaries: | r-release (arm64): rYWAASB_0.2.tgz, r-oldrel (arm64): rYWAASB_0.2.tgz, r-release (x86_64): rYWAASB_0.2.tgz, r-oldrel (x86_64): rYWAASB_0.2.tgz |
Old sources: | rYWAASB archive |
Please use the canonical form https://CRAN.R-project.org/package=rYWAASB 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.
Health stats visible at Monitor.