Package: rYWAASB 0.2

Ali Arminian

rYWAASB: Simultaneous Selection by Trait and WAASB Index

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 & Lúcio (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.

Authors:Ali Arminian [aut, cre, cph]

rYWAASB_0.2.tar.gz
rYWAASB_0.2.tar.gz(r-4.5-noble)rYWAASB_0.2.tar.gz(r-4.4-noble)
rYWAASB_0.2.tgz(r-4.4-emscripten)rYWAASB_0.2.tgz(r-4.3-emscripten)
rYWAASB.pdf |rYWAASB.html
rYWAASB/json (API)
NEWS

# Install 'rYWAASB' in R:
install.packages('rYWAASB', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/abeyran/rywaasb/issues

Datasets:
  • data_ge - Dataset2: a tibble containing ENV, GEN, REP factors and GY(grain yield) and HM agronomic traits from the 'metan' package.
  • maize - Dataset1: a tibble containing GEN, Trait, 'WAASB' and 'WAASBY' indexes.

3.00 score 4 scripts 233 downloads 5 exports 112 dependencies

Last updated 1 months agofrom:deee37297e. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linuxNOTEOct 31 2024

Exports:bar_plot1bar_plot2nbclustPCA_biplotranki

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecorrplotcowplotcpp11crosstalkdendextendDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustfontawesomeFormulafsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSmathjaxrMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpolynompromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenreshape2rlangrmarkdownrstatixsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml

Simultaneous Selection by Trait and WAASB Index

Rendered fromrYWAASB_manual.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2024-09-30
Started: 2024-08-29