Package: ggquickeda 0.3.1.9000

ggquickeda: Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary Tables

Quickly and easily perform exploratory data analysis by uploading your data as a 'csv' file. Start generating insights using 'ggplot2' plots and 'table1' tables with descriptive stats, all using an easy-to-use point and click 'Shiny' interface.

Authors:Samer Mouksassi [aut, cre], Dean Attali [aut], James Craig [aut], Benjamin Rich [aut], Michael Sachs [aut]

ggquickeda_0.3.1.9000.tar.gz
ggquickeda_0.3.1.9000.zip(r-4.5)ggquickeda_0.3.1.9000.zip(r-4.4)
ggquickeda_0.3.1.9000.tgz(r-4.5-any)ggquickeda_0.3.1.9000.tgz(r-4.4-any)
ggquickeda_0.3.1.9000.tar.gz(r-4.5-noble)ggquickeda_0.3.1.9000.tar.gz(r-4.4-noble)
ggquickeda_0.3.1.9000.tgz(r-4.4-emscripten)
ggquickeda.pdf |ggquickeda.html✨
ggquickeda/json (API)
NEWS

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

Bug tracker:https://github.com/smouksassi/ggquickeda/issues

Pkgdown site:https://smouksassi.github.io

Datasets:

On CRAN:

8.27 score 72 stars 27 scripts 499 downloads 1 mentions 26 exports 174 dependencies

Last updated 2 days agofrom:7e915d1fcc. Checks:1 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 17 2025
R-4.5-winNOTEFeb 17 2025
R-4.5-macNOTEFeb 17 2025
R-4.5-linuxNOTEFeb 17 2025
R-4.4-winNOTEFeb 17 2025
R-4.4-macNOTEFeb 17 2025

Exports:+attach_source_depcloglog_transcumhaz_transdostepevent_transgeom_kmgeom_kmbandgeom_kmticksGeomKmGeomKmbandGeomKmticksget_source_codeggcontinuousexpdistggkmrisktablegglogisticexpdistmerge_stepsrun_ggquickedasourceablestairstepnstat_kmstat_kmbandstat_kmticksStatKmStatKmbandStatKmticks

Dependencies:abindaskpassbackportsbase64encbeeswarmbitbit64blobbootbroombslibcachemcarcarDatacheckmatecliclustercodetoolscolorspacecolourpickercommonmarkconfintrcorrplotcowplotcpp11crayoncrosstalkcurldata.tableDBIDerivdigestdoBydplyrDTevaluateexactRankTestsfansifarverfastmapfontawesomeforcatsforeignFormulafsgenericsGGallyggbeeswarmggh4xggplot2ggpmiscggppggpubrggrepelggridgesggsciggsignifggstanceggstatsggtextgluegridExtragridtextgtablehighrHmischmshtmlTablehtmltoolshtmlwidgetshttpuvhttrisobandjpegjquerylibjsonlitekm.ciKMsurvknitrlabelinglaterlatticelazyevallifecyclelme4lmodel2lubridatemagrittrmarkdownMASSMatrixMatrixModelsmaxstatmemoisemgcvmicrobenchmarkmimeminiUIminqamodelrmultcompmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivopensslpatchworkpbkrtestpillarpkgconfigplogrplotlyplyrpngpolsplinepolynomprettyunitsprogresspromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrmarkdownrmsrpartRPostgresrstatixrstudioapisandwichsassscalesshinyshinyFilesshinyjquishinyjssourcetoolsSparseMsplus2RstringistringrsurvivalsurvminersurvMiscsystable1TH.datatibbletidyrtidyselecttimechangetinytexutf8vctrsviporviridisviridisLitewithrxfunxml2xtablextsyamlzoo

Additional Plots and Stats with ggquickeda

Samer Mouksassi

Rendered fromAdditionalPlotsStats.Rmdusingknitr::rmarkdown_notangleon Feb 17 2025.

Last update: 2020-07-21
Started: 2018-04-16

Introduction to ggquickeda

Samer Mouksassi

Rendered fromggquickeda.Rmdusingknitr::rmarkdownon Feb 17 2025.

Last update: 2024-01-14
Started: 2018-04-04

Shiny App

Rendered fromapp.Rmdusingknitr::rmarkdownon Feb 17 2025.

Last update: 2022-06-18
Started: 2022-06-18

Visualizing Summary Data

Samer Mouksassi

Rendered fromVisualizing_Summary_Data.Rmdusingknitr::rmarkdownon Feb 17 2025.

Last update: 2021-02-09
Started: 2020-10-26