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-4.7-any)MDSPCAShiny_0.1.0.zip(r-4.6-any)MDSPCAShiny_0.1.0.zip(r-4.5-any)
MDSPCAShiny_0.1.0.tgz(r-4.6-any)MDSPCAShiny_0.1.0.tgz(r-4.5-any)
MDSPCAShiny_0.1.0.tar.gz(r-4.7-any)MDSPCAShiny_0.1.0.tar.gz(r-4.6-any)
MDSPCAShiny_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 282 downloads 1 exports 51 dependencies

Last updated from:80f7f7e3a2. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE129
source / vignettesOK182
linux-releaseNOTE122
macos-releaseNOTE188
macos-oldrelNOTE160
windows-develNOTE63
windows-releaseNOTE86
windows-oldrelNOTE66
wasm-releaseOK135

Exports:MDSPCAShiny

Dependencies:base64encbslibcachemclicommonmarkdigestdplyrevaluatefastmapfontawesomefsgenericsglueGPArotationhighrhtmltoolshttpuvjquerylibjsonliteknitrlaterlatticelifecyclemagrittrMASSmemoisemimemnormtnlmeotelpillarpkgconfigpromisespsychR6rappdirsRcpprlangrmarkdownsassshinysourcetoolstibbletidyselecttinytexutf8vctrswithrxfunxtableyaml