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.

Version: 0.3.1
Depends: R (≥ 4.1.0)
Imports: colourpicker, dplyr, data.table, DT, Formula, GGally (≥ 2.1.0), ggbeeswarm, ggh4x, ggplot2 (≥ 3.4.0), ggpmisc, ggrepel (≥ 0.7.0), ggpubr, ggstance, glue, gridExtra, Hmisc, markdown, methods, plotly, quantreg, rlang, scales, shiny (≥ 1.0.4), shinyjs (≥ 1.1), shinyjqui, stringr, survival, survminer, tidyr, table1 (≥ 1.4.2), zoo, shinyFiles, RPostgres, forcats, ggridges, rms, tibble, patchwork (≥ 1.2.0)
Suggests: knitr, rmarkdown
Published: 2024-01-15
DOI: 10.32614/CRAN.package.ggquickeda
Author: Samer Mouksassi ORCID iD [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 <samermouksassi at>
License: MIT + file LICENSE
NeedsCompilation: no
SystemRequirements: pandoc with https support
Materials: README NEWS
CRAN checks: ggquickeda results


Reference manual: ggquickeda.pdf
Vignettes: Visualizing Summary Data
Shiny App
Introduction to ggquickeda
Additional Plots and Stats with ggquickeda


Package source: ggquickeda_0.3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ggquickeda_0.3.1.tgz, r-oldrel (arm64): ggquickeda_0.3.1.tgz, r-release (x86_64): ggquickeda_0.3.1.tgz, r-oldrel (x86_64): ggquickeda_0.3.1.tgz
Old sources: ggquickeda archive


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