ggquickeda: Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary Tables (original) (raw)

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.

Version:	0.3.2
Depends:	R (≥ 4.1.0)
Imports:	colourpicker, dplyr, data.table, DT, Formula, forcats, GGally (≥ 2.1.0), ggbeeswarm, ggh4x, ggplot2 (≥ 3.4.0), ggpmisc, ggrepel (≥ 0.7.0), ggridges, ggpubr, ggstance, glue, gridExtra, Hmisc, markdown, methods, patchwork (≥ 1.2.0), plotly, quantreg, rlang, rms, RPostgres, scales, shiny (≥ 1.0.4), shinyFiles, shinyjs (≥ 1.1), shinyjqui, stringr, survival, survminer, tibble, tidyr, table1 (≥ 1.4.2), zoo
Suggests:	knitr, rmarkdown
Published:	2025-09-15
DOI:	10.32614/CRAN.package.ggquickeda
Author:	Samer Mouksassi [aut, cre], Dean Attali [aut], James Craig [aut] (implemented bookmarking and created pkgdown website), Benjamin Rich [aut] (provided summary stats tables table1 tab code), Michael Sachs [aut] (provided ggkm initial code)
Maintainer:	Samer Mouksassi
BugReports:	https://github.com/smouksassi/ggquickeda/issues
License:	MIT + file
URL:	https://github.com/smouksassi/ggquickeda,https://smouksassi.github.io/ggquickeda/
NeedsCompilation:	no
SystemRequirements:	pandoc with https support
Materials:	README, NEWS
CRAN checks:	ggquickeda results

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