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.

1.00 score 188 downloads 1 exports 102 dependencies

Last updated 6 years agofrom:4329b8dd71. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winNOTENov 17 2024
R-4.5-linuxNOTENov 17 2024
R-4.4-winNOTENov 17 2024
R-4.4-macNOTENov 17 2024
R-4.3-winNOTENov 17 2024
R-4.3-macNOTENov 17 2024

Exports:CLUSTShiny

Dependencies:base64encbayestestRbitbit64bslibcachemclassclassIntclicliprclustercolorspacecombinatcommonmarkcpp11crayondatawizarddigestdplyre1071effectsizeevaluatefansifarverfastmapfontawesomeforcatsfsgenericsggplot2gluegtablehavenhighrhmshtmltoolshttpuvinsightisobandjquerylibjsonliteKernSmoothklaRknitrlabelinglabelledlaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimeminiUImunsellnlmeparametersperformancepillarpkgconfigprettyunitsprogresspromisesproxypsychopurrrquestionrR.cacheR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppreadrrlangrmarkdownrprojrootrstudioapisassscalesshinysourcetoolsstringistringrstylertibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevroomwithrxfunxtableyaml