Package: rpcss 0.1.0.9000
rpcss: Constitution of Core Collections by Principal Component Scoring Strategy
Generate a Core Collection with Principal Component Scoring Strategy (PCSS) using qualitative and/or quantitative trait data according to Hamon and Noirot (1990) <https://www.documentation.ird.fr/hor/fdi:36506>, Noirot et al. (1996) <doi:10.2307/2527837> and Noirot et al. (2003) <https://www.documentation.ird.fr/hor/fdi:010031886>.
Authors:
rpcss_0.1.0.9000.tar.gz
rpcss_0.1.0.9000.zip(r-4.5)rpcss_0.1.0.9000.zip(r-4.4)rpcss_0.1.0.9000.zip(r-4.3)
rpcss_0.1.0.9000.tgz(r-4.5-any)rpcss_0.1.0.9000.tgz(r-4.4-any)rpcss_0.1.0.9000.tgz(r-4.3-any)
rpcss_0.1.0.9000.tar.gz(r-4.5-noble)rpcss_0.1.0.9000.tar.gz(r-4.4-noble)
rpcss_0.1.0.9000.tgz(r-4.4-emscripten)rpcss_0.1.0.9000.tgz(r-4.3-emscripten)
rpcss.pdf |rpcss.html✨
rpcss/json (API)
NEWS
| # Install 'rpcss' in R: |
| install.packages('rpcss', repos = c('https://aravind-j.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/aravind-j/rpcss/issues
Pkgdown site:https://aravind-j.github.io
Last updated 2 hours agofrom:031a780323. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 19 2025 |
| R-4.5-win | OK | Feb 19 2025 |
| R-4.5-mac | OK | Feb 19 2025 |
| R-4.5-linux | OK | Feb 19 2025 |
| R-4.4-win | OK | Feb 19 2025 |
| R-4.4-mac | OK | Feb 19 2025 |
| R-4.3-win | OK | Feb 19 2025 |
| R-4.3-mac | OK | Feb 19 2025 |
Exports:contribcoreplotpcss.core
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomeFormulafsgenericsggplot2ggrepelgluegslnlsgtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSmathjaxrMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrmarkdownsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generate Biplots from 'pcss.core' Output | biplot.pcss.core |
| Principal Component Scoring to Generate Core collections | pcss.core |
| Prints summary of 'pcss.core' object | print.pcss.core |
| Plot Eigen values as a Scree Plot from 'pcss.core' Output | screeplot.pcss.core |
| Fetch the names of individuals/genotypes in the core set generated from 'pcss.core' Output | subset.pcss.core |
