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-4.5-any)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'))

On CRAN:

Conda:

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

1.00 score 129 downloads 1 exports 52 dependencies

Last updated 6 years agofrom:80f7f7e3a2. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 21 2025
R-4.5-winNOTEMar 21 2025
R-4.5-macNOTEMar 21 2025
R-4.5-linuxNOTEMar 21 2025
R-4.4-winNOTEMar 21 2025
R-4.4-macNOTEMar 21 2025
R-4.4-linuxNOTEMar 21 2025
R-4.3-winNOTEMar 21 2025
R-4.3-macNOTEMar 21 2025

Exports:MDSPCAShiny

Dependencies:base64encbslibcachemclicommonmarkcrayondigestdplyrevaluatefansifastmapfontawesomefsgenericsglueGPArotationhighrhtmltoolshttpuvjquerylibjsonliteknitrlaterlatticelifecyclemagrittrMASSmemoisemimemnormtnlmepillarpkgconfigpromisespsychR6rappdirsRcpprlangrmarkdownsassshinysourcetoolstibbletidyselecttinytexutf8vctrswithrxfunxtableyaml