Package: MDSPCAShiny 0.1.0

MDSPCAShiny: Interactive Document for Working with Multidimensional Scaling and Principal Component Analysis

An interactive document on the topic of multidimensional scaling and principal component analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://kartikeyabolar.shinyapps.io/MDS_PCAShiny/>.

Authors:Kartikeya Bolar

MDSPCAShiny_0.1.0.tar.gz
MDSPCAShiny_0.1.0.zip(r-4.5)MDSPCAShiny_0.1.0.zip(r-4.4)MDSPCAShiny_0.1.0.zip(r-4.3)
MDSPCAShiny_0.1.0.tgz(r-4.4-any)MDSPCAShiny_0.1.0.tgz(r-4.3-any)
MDSPCAShiny_0.1.0.tar.gz(r-4.5-noble)MDSPCAShiny_0.1.0.tar.gz(r-4.4-noble)
MDSPCAShiny_0.1.0.tgz(r-4.4-emscripten)MDSPCAShiny_0.1.0.tgz(r-4.3-emscripten)
MDSPCAShiny.pdf |MDSPCAShiny.html✨
MDSPCAShiny/json (API)

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

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 133 downloads 1 exports 52 dependencies

Last updated 6 years agofrom:80f7f7e3a2. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winNOTENov 21 2024
R-4.5-linuxNOTENov 21 2024
R-4.4-winNOTENov 21 2024
R-4.4-macNOTENov 21 2024
R-4.3-winNOTENov 21 2024
R-4.3-macNOTENov 21 2024

Exports:MDSPCAShiny

Dependencies:base64encbslibcachemclicommonmarkcrayondigestdplyrevaluatefansifastmapfontawesomefsgenericsglueGPArotationhighrhtmltoolshttpuvjquerylibjsonliteknitrlaterlatticelifecyclemagrittrMASSmemoisemimemnormtnlmepillarpkgconfigpromisespsychR6rappdirsRcpprlangrmarkdownsassshinysourcetoolstibbletidyselecttinytexutf8vctrswithrxfunxtableyaml