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:

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

1.00 score 179 downloads 1 exports 52 dependencies

Last updated 6 years agofrom:80f7f7e3a2. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 19 2025
R-4.5-winNOTEFeb 19 2025
R-4.5-macNOTEFeb 19 2025
R-4.5-linuxNOTEFeb 19 2025
R-4.4-winNOTEFeb 19 2025
R-4.4-macNOTEFeb 19 2025
R-4.3-winNOTEFeb 19 2025
R-4.3-macNOTEFeb 19 2025

Exports:MDSPCAShiny

Dependencies:base64encbslibcachemclicommonmarkcrayondigestdplyrevaluatefansifastmapfontawesomefsgenericsglueGPArotationhighrhtmltoolshttpuvjquerylibjsonliteknitrlaterlatticelifecyclemagrittrMASSmemoisemimemnormtnlmepillarpkgconfigpromisespsychR6rappdirsRcpprlangrmarkdownsassshinysourcetoolstibbletidyselecttinytexutf8vctrswithrxfunxtableyaml