Package: CLUSTShiny 0.1.0

CLUSTShiny: Interactive Document for Working with Cluster Analysis

An interactive document on the topic of cluster analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://analyticmodels.shinyapps.io/ClusterAnalysis/>.

Authors:Kartikeya Bolar

CLUSTShiny_0.1.0.tar.gz
CLUSTShiny_0.1.0.zip(r-4.5)CLUSTShiny_0.1.0.zip(r-4.4)CLUSTShiny_0.1.0.zip(r-4.3)
CLUSTShiny_0.1.0.tgz(r-4.4-any)CLUSTShiny_0.1.0.tgz(r-4.3-any)
CLUSTShiny_0.1.0.tar.gz(r-4.5-noble)CLUSTShiny_0.1.0.tar.gz(r-4.4-noble)
CLUSTShiny_0.1.0.tgz(r-4.4-emscripten)CLUSTShiny_0.1.0.tgz(r-4.3-emscripten)
CLUSTShiny.pdf |CLUSTShiny.html
CLUSTShiny/json (API)

# Install 'CLUSTShiny' in R:
install.packages('CLUSTShiny', 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 102 dependencies 138 downloads

Last updated 5 years agofrom:4329b8dd71

Exports:CLUSTShiny

Dependencies:base64encbayestestRbitbit64bslibcachemclassclassIntclicliprclustercolorspacecombinatcommonmarkcpp11crayondatawizarddigestdplyre1071effectsizeevaluatefansifarverfastmapfontawesomeforcatsfsgenericsggplot2gluegtablehavenhighrhmshtmltoolshttpuvinsightisobandjquerylibjsonliteKernSmoothklaRknitrlabelinglabelledlaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimeminiUImunsellnlmeparametersperformancepillarpkgconfigprettyunitsprogresspromisesproxypsychopurrrquestionrR.cacheR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppreadrrlangrmarkdownrprojrootrstudioapisassscalesshinysourcetoolsstringistringrstylertibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevroomwithrxfunxtableyaml