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 exports 0.00 score 52 dependencies 134 downloads

Last updated 5 years agofrom:80f7f7e3a2. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winNOTEAug 23 2024
R-4.5-linuxNOTEAug 23 2024
R-4.4-winNOTEAug 23 2024
R-4.4-macNOTEAug 23 2024
R-4.3-winNOTEAug 23 2024
R-4.3-macNOTEAug 23 2024

Exports:MDSPCAShiny

Dependencies:base64encbslibcachemclicommonmarkcrayondigestdplyrevaluatefansifastmapfontawesomefsgenericsglueGPArotationhighrhtmltoolshttpuvjquerylibjsonliteknitrlaterlatticelifecyclemagrittrMASSmemoisemimemnormtnlmepillarpkgconfigpromisespsychR6rappdirsRcpprlangrmarkdownsassshinysourcetoolstibbletidyselecttinytexutf8vctrswithrxfunxtableyaml