Package: exploreit 1.0.3

Philippe Grosjean

exploreit: Exploratory Data Analysis for 'SciViews::R'

Multivariate analysis and data exploration for the 'SciViews::R' dialect.

Authors:Philippe Grosjean [aut, cre]

exploreit_1.0.3.tar.gz
exploreit_1.0.3.zip(r-4.5)exploreit_1.0.3.zip(r-4.4)exploreit_1.0.3.zip(r-4.3)
exploreit_1.0.3.tgz(r-4.4-any)exploreit_1.0.3.tgz(r-4.3-any)
exploreit_1.0.3.tar.gz(r-4.5-noble)exploreit_1.0.3.tar.gz(r-4.4-noble)
exploreit_1.0.3.tgz(r-4.4-emscripten)exploreit_1.0.3.tgz(r-4.3-emscripten)
exploreit.pdf |exploreit.html
exploreit/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/sciviews/exploreit/issues

On CRAN:

multivariate-analysissciviewsstatistical-methods

17 exports 0.09 score 207 dependencies

Last updated 2 months agofrom:5229262ebbefa9a9f3232070204adf6a3dad2692

Exports:as_dissimilarityas.dissimilarityas.prcompaugmentcacircleclusterdissimilaritygeom_dendrolineglancek_meansmdsmfapcaprofile_kshepardtidy

Dependencies:abindanytimeapeaskpassbackportsbase64encBHbitbit64bootbriobroombroom.mixedbslibcacachemcallrcarcarDatachartcheckmateclicliprclustercodacodetoolscollapsecolorspacecommonmarkcorrplotcowplotcpp11crayoncrosstalkcrulcurldata.iodata.tabledeldirdendextenddescdiffobjdigestdplyrDTellipseellipsisemmeansequatiomaticestimabilityevaluatefactoextraFactoMineRfansifarverfastclusterfastmapflashClustflextablefontawesomefontBitstreamVerafontLiberationfontquiverforcatsforeignFormulafsfurrrfuturegdtoolsgenericsgfontsggdendroggfortifyggplot2ggplotifyggpubrggrepelggsciggsignifglobalsgluegridExtragridGraphicsgtablehighrHmischmshtmlTablehtmltoolshtmlwidgetshttpcodehttpuvigraphinterpisobandjpegjquerylibjsonliteknitrlabelinglaterlatticelatticeExtralazyevalleapslifecyclelistenvlme4lobstrlubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmimeminqamultcompViewmunsellmvtnormnlmenloptrnnetnumDerivofficeropensslparallellypbkrtestpermutepillarpkgbuildpkgconfigpkgloadplyrpngpolynompraiseprettyunitsprocessxprogresspromisesprotopryrpspurrrquantregR6raggrappdirsRColorBrewerRcppRcppEigenreadrrematch2reshape2rlangrmarkdownrpartrprojrootrstatixrstudioapisassscalesscatterplot3dSciViewsshinysourcetoolsSparseMstringistringrsurvivalsvBasesvFlowsvMiscsyssystemfontstabularisetestthattextshapingtibbletidyrtidyselecttimechangetinytabletinytextriebeardtsibbletzdburltoolsutf8uuidvctrsveganviridisviridisLitevroomwaldowithrxfunxml2xtableyamlyulab.utilszeallotzip

Exploratory Data Analysis for 'SciViews::R'

Rendered fromexploreit.Rmdusingknitr::rmarkdownon May 31 2024.

Last update: 2024-05-01
Started: 2021-08-05

Readme and manuals

Help Manual

Help pageTopics
Exploratory Data Analysis for 'SciViews::R'exploreit-package
Convert a dist or matrix object into a Dissimilarity objectas.dissimilarity as.dissimilarity.Dissimilarity as.dissimilarity.dist as.dissimilarity.matrix as_dissimilarity
Correspondence Analysis (CA)autoplot.ca ca chart.ca
Draw circles in a plotcircle
Hierarchical Clustering Analysisaugment.Cluster autoplot.Cluster chart.Cluster cluster cluster.default cluster.dist labels.Cluster nobs.Cluster plot.Cluster predict.Cluster str.Cluster
Calculate a dissimilarity matrixautoplot.Dissimilarity chart.Dissimilarity dissimilarity labels.Dissimilarity nobs.Dissimilarity print.Dissimilarity
Draw a line to cut a dendrogramgeom_dendroline
K-means clusteringaugment.kmeans autoplot.k_means chart.k_means k_means plot.k_means predict.k_means profile_k
Multidimensional scaling or principal coordinates analysisaugment.mds autoplot.mds autoplot.shepard chart.mds chart.shepard glance.mds mds plot.mds plot.shepard shepard
Multiple Factor Analysis (MFA)autoplot.MFA chart.MFA mfa
Principal Component Analysis (PCA)as.prcomp as.prcomp.default as.prcomp.prcomp as.prcomp.princomp augment.princomp autoplot.pcomp chart.pcomp pca tidy.princomp
Scale a data frame (data.frame, data.table or tibble's tbl_df)scale scale.data.frame scale.data.table scale.tbl_df