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:
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.zip(r-4.3)
ggquickeda_0.3.1.9000.tgz(r-4.4-any)ggquickeda_0.3.1.9000.tgz(r-4.3-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_0.3.1.9000.tgz(r-4.3-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
- logistic_data - Simulated Exposure Response Data
- sample_data - Simulated Pharmacokinetic Concentration Data
Last updated 8 days agofrom:947db7e36b. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 15 2024 |
R-4.5-win | NOTE | Nov 15 2024 |
R-4.5-linux | NOTE | Nov 15 2024 |
R-4.4-win | NOTE | Nov 15 2024 |
R-4.4-mac | NOTE | Nov 15 2024 |
R-4.3-win | NOTE | Aug 21 2024 |
R-4.3-mac | NOTE | Aug 21 2024 |
Exports:+attach_source_depcloglog_transcumhaz_transdostepevent_transgeom_kmgeom_kmbandgeom_kmticksGeomKmGeomKmbandGeomKmticksget_source_codeggcontinuousexpdistggkmrisktablegglogisticexpdistmerge_stepsrun_ggquickedasourceablestairstepnstat_kmstat_kmbandstat_kmticksStatKmStatKmbandStatKmticks
Dependencies:abindaskpassbackportsbase64encbeeswarmbitbit64blobbootbroombslibcachemcarcarDatacheckmatecliclustercodetoolscolorspacecolourpickercommonmarkconfintrcorrplotcowplotcpp11crayoncrosstalkcurldata.tableDBIDerivdigestdoBydplyrDTevaluateexactRankTestsfansifarverfastmapfontawesomeforcatsforeignFormulafsgenericsGGallyggbeeswarmggh4xggplot2ggpmiscggppggpubrggrepelggridgesggsciggsignifggstanceggstatsggtextgluegridExtragridtextgtablehighrHmischmshtmlTablehtmltoolshtmlwidgetshttpuvhttrisobandjpegjquerylibjsonlitekm.ciKMsurvknitrlabelinglaterlatticelazyevallifecyclelme4lmodel2lubridatemagrittrmarkdownMASSMatrixMatrixModelsmaxstatmemoisemgcvmicrobenchmarkmimeminiUIminqamodelrmultcompmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivopensslpatchworkpbkrtestpillarpkgconfigplogrplotlyplyrpngpolsplinepolynomprettyunitsprogresspromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownrmsrpartRPostgresrstatixrstudioapisandwichsassscalesshinyshinyFilesshinyjquishinyjssourcetoolsSparseMsplus2RstringistringrsurvivalsurvminersurvMiscsystable1TH.datatibbletidyrtidyselecttimechangetinytexutf8vctrsviporviridisviridisLitewithrxfunxml2xtablextsyamlzoo
Additional Plots and Stats with ggquickeda
Rendered fromAdditionalPlotsStats.Rmd
usingknitr::rmarkdown_notangle
on Nov 15 2024.Last update: 2020-07-21
Started: 2018-04-16
Introduction to ggquickeda
Rendered fromggquickeda.Rmd
usingknitr::rmarkdown
on Nov 15 2024.Last update: 2024-01-14
Started: 2018-04-04
Shiny App
Rendered fromapp.Rmd
usingknitr::rmarkdown
on Nov 15 2024.Last update: 2022-06-18
Started: 2022-06-18
Visualizing Summary Data
Rendered fromVisualizing_Summary_Data.Rmd
usingknitr::rmarkdown
on Nov 15 2024.Last update: 2021-02-09
Started: 2020-10-26
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Add a Kaplan-Meier survival curve | geom_km |
Add confidence bands to a Kaplan-Meier survival curve | geom_kmband |
Add tick marks to a Kaplan-Meier survival curve | geom_kmticks |
Create a continuous exposure fit plot | ggcontinuousexpdist |
Create a Kaplan-Meier plot with risk table | ggkmrisktable |
Create a logistic fit plot | gglogisticexpdist |
Simulated Exposure Response Data | logistic_data |
Run the ggquickeda application | run_ggquickeda |
Simulated Pharmacokinetic Concentration Data | sample_data |
Adds a Kaplan Meier Estimate of Survival | stat_km |
Adds confidence bands to a Kaplan Meier Estimate of Survival | stat_kmband |
Adds tick marks to a Kaplan Meier Estimate of Survival | stat_kmticks |