Package: rpcss 0.1.1.9000
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_0.1.1.9000.tar.gz
rpcss_0.1.1.9000.zip(r-4.7)rpcss_0.1.1.9000.zip(r-4.6)rpcss_0.1.1.9000.zip(r-4.5)
rpcss_0.1.1.9000.tgz(r-4.6-any)rpcss_0.1.1.9000.tgz(r-4.5-any)
rpcss_0.1.1.9000.tar.gz(r-4.7-any)rpcss_0.1.1.9000.tar.gz(r-4.6-any)
rpcss_0.1.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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/docs site:https://aravind-j.github.io
core-collectionsgenebankgermplasmpgrplant-genetic-resources
Last updated from:449a89832f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 207 | ||
| source / vignettes | OK | 240 | ||
| linux-release-x86_64 | OK | 217 | ||
| macos-release-arm64 | OK | 149 | ||
| macos-oldrel-arm64 | OK | 113 | ||
| windows-devel | OK | 152 | ||
| windows-release | OK | 153 | ||
| windows-oldrel | OK | 187 | ||
| wasm-release | OK | 158 |
Exports:contribcoreplotpcss.core
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfarverfastmapflashClustfontawesomeforecastFormulafracdifffsgenericsggplot2ggrepelgluegslnlsgtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4lmtestmagrittrMASSmathjaxrMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmvtnormnlmenloptrnnetnumDerivotelpbkrtestpillarpkgconfigpromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrmarkdownS7sassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitewithrxfunyamlzoo
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 |
