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 239 downloads

Last updated 5 years agofrom:4329b8dd71. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 18 2024
R-4.5-winNOTESep 18 2024
R-4.5-linuxNOTESep 18 2024
R-4.4-winNOTESep 18 2024
R-4.4-macNOTESep 18 2024
R-4.3-winNOTESep 18 2024
R-4.3-macNOTESep 18 2024

Exports:CLUSTShiny

Dependencies:base64encbayestestRbitbit64bslibcachemclassclassIntclicliprclustercolorspacecombinatcommonmarkcpp11crayondatawizarddigestdplyre1071effectsizeevaluatefansifarverfastmapfontawesomeforcatsfsgenericsggplot2gluegtablehavenhighrhmshtmltoolshttpuvinsightisobandjquerylibjsonliteKernSmoothklaRknitrlabelinglabelledlaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimeminiUImunsellnlmeparametersperformancepillarpkgconfigprettyunitsprogresspromisesproxypsychopurrrquestionrR.cacheR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppreadrrlangrmarkdownrprojrootrstudioapisassscalesshinysourcetoolsstringistringrstylertibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevroomwithrxfunxtableyaml