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)MDSPCAShiny_0.1.0.zip(r-4.6)MDSPCAShiny_0.1.0.zip(r-4.5)
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✨
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 143 downloads 1 exports 51 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE116
source / vignettesOK171
linux-release-x86_64NOTE111
macos-release-arm64NOTE69
macos-oldrel-arm64NOTE91
windows-develNOTE75
windows-releaseNOTE61
windows-oldrelNOTE83
wasm-releaseOK113

Exports:MDSPCAShiny

Dependencies:base64encbslibcachemclicommonmarkdigestdplyrevaluatefastmapfontawesomefsgenericsglueGPArotationhighrhtmltoolshttpuvjquerylibjsonliteknitrlaterlatticelifecyclemagrittrMASSmemoisemimemnormtnlmeotelpillarpkgconfigpromisespsychR6rappdirsRcpprlangrmarkdownsassshinysourcetoolstibbletidyselecttinytexutf8vctrswithrxfunxtableyaml