Package: smvgraph 0.2.0

smvgraph: Visualization and Clustering of Data in a Shiny App

Various visualisations of univariate and multivariate graphs (e.g. mosaic diagram, scatterplot matrix, Andrews curves, parallel coordinate diagram, radar diagram and Chernoff plots) as well as clustering methods (e.g. k-means, agglomerative, EM clustering and DBSCAN) are implemented as a Shiny app. The app allows interactive changes, e.g. of the order of variables. It is intended for use in teaching.

Authors:Sigbert Klinke [aut, cre]

smvgraph_0.2.0.tar.gz
smvgraph_0.2.0.zip(r-4.5)smvgraph_0.2.0.zip(r-4.4)smvgraph_0.2.0.zip(r-4.3)
smvgraph_0.2.0.tgz(r-4.4-any)smvgraph_0.2.0.tgz(r-4.3-any)
smvgraph_0.2.0.tar.gz(r-4.5-noble)smvgraph_0.2.0.tar.gz(r-4.4-noble)
smvgraph_0.2.0.tgz(r-4.4-emscripten)smvgraph_0.2.0.tgz(r-4.3-emscripten)
smvgraph.pdf |smvgraph.html
smvgraph/json (API)

# Install 'smvgraph' in R:
install.packages('smvgraph', repos = c('https://sigbertklinke.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/sigbertklinke/smvgraph/issues

Datasets:

On CRAN:

3.70 score 128 downloads 68 exports 139 dependencies

Last updated 2 years agofrom:8f713920a3. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winOKNov 04 2024
R-4.5-linuxOKNov 04 2024
R-4.4-winNOTENov 04 2024
R-4.4-macNOTENov 04 2024
R-4.3-winNOTENov 04 2024
R-4.3-macNOTENov 04 2024

Exports:andrewsas_paramavailablePlotsbagplot2binDatacharacter_datacheckPackagescolor_datacolor_hclustconvertTofactor_dataformatCommandsgetModulesgetvalgetVariableInfogetVariableNamesinc_progressinstallPackagesinvalidjitter_minloggitnormalizenumeric_dataorder_andrewsorder_parcoordpyramidread_logsresetparsandrewsschernoffsdbscansdistanceset_logfileset_progresssfactorshclustskmeanssmclustsmosaicsortbinspairssparcoordsplotsradartableplottemplatetoChoicetoDataframetoLayouttoRDStrend_seasontxtUIdatanormalizationUIdistanceUIlegendUIlegendsizeUIlinetypeUIlinewidthUImergegroupsUIobservationsUIplottypeUIpointsizeUIpointsymbolUItextsizevalidwith_progressyeo.johnsonzzz

Dependencies:abindaskpassassertthatbackportsbase64encbrewbriobslibcachemcallrcheckmateclicliprcolorspacecommonmarkcpp11crayoncredentialscrosstalkcurldescdevtoolsdiffobjdigestdownlitDTellipsisevaluatefansifarverfastmapfontawesomeformatRfreshfsgeometrygertggplot2ghgitcredsgluegtablehighlighthighrhtmltoolshtmlwidgetshttpuvhttr2iniisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallearnrlifecyclelinproglpSolvemagicmagrittrmarkdownMASSMatrixmatrixStatsmemoisemgcvmimeminiUImrfDepthmunsellnlmeopensslpillarpkgbuildpkgconfigpkgdownpkgloadplyrpraiseprettyunitsprocessxprofvispromisespspurrrR6raggrappdirsrcmdcheckRColorBrewerRcppRcppArmadilloRcppEigenRcppProgressrematch2remotesrenvreshape2rlangrmarkdownroxygen2rprojrootrstudioapirversionssassscalessessioninfoshinyshinydashboardshinydashboardPlusshinyWidgetssortablesourcetoolsstringistringrsyssystemfontstestthattextshapingtibbletinytexurlcheckerusethisutf8vctrsviridisLitewaiterwaldowhiskerwithrxfunxml2xopenxtableyamlzip

smvgraph

Rendered fromsmvgraph.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2022-10-19
Started: 2022-04-25

Readme and manuals

Help Manual

Help pageTopics
andrewsandrews
as_paramas_param txt
availablePlotsavailablePlots
bagplotbagplot2
binDatabinData
character_datacharacter_data
checkPackages, installPackagescheckPackages installPackages
color_datacolor_data
color_hclustcolor_hclust
convertToconvertTo
factor_datafactor_data
formatCommandsformatCommands
getModulesgetModules
getvalgetval
getVariableInfogetVariableInfo
getVariableNamesgetVariableNames
jitter_minjitter_min
loggitloggit message read_logs set_logfile stop warning
normalizenormalize
numeric_datanumeric_data
order_andrewsorder_andrews
order_parcoordorder_parcoord
pyramidpyramid
resetparresetpar
sandrewssandrews
schernoffschernoff
sdbscansdbscan
sdistancesdistance
sfactorsfactor
shclustshclust
skmeansskmeans
smclustsmclust
smosaicsmosaic
sortbinsortbin
spairsspairs
sandrewssparcoord
splotsplot
sradarsradar
tableplottableplot
templatetemplate
Test datatestdata
toChoicetoChoice
toDataframetoDataframe
toLayouttoLayout
toRDStoRDS
Trend and aeasonality estimation of a univariate time seriesplot.trend_season print.trend_season summary.trend_season trend_season trend_season.default
General UI elementsUIdatanormalization UIdistance UIlegend UIlegendsize UIlinetype UIlinewidth UImergegroups UIobservations UIplottype UIpointsize UIpointsymbol UItextsize
valid, invalidinvalid valid
Progressinc_progress set_progress with_progress
yeo.johnsonyeo.johnson
zzzzzz