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 51 dependencies 96 downloads

Last updated 5 years agofrom:80f7f7e3a2

Exports:MDSPCAShiny

Dependencies:base64encbslibcachemclicommonmarkcrayondigestdplyrevaluatefansifastmapfontawesomefsgenericsgluehighrhtmltoolshttpuvjquerylibjsonliteknitrlaterlatticelifecyclemagrittrMASSmemoisemimemnormtnlmepillarpkgconfigpromisespsychR6rappdirsRcpprlangrmarkdownsassshinysourcetoolstibbletidyselecttinytexutf8vctrswithrxfunxtableyaml