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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 gmail.com>
BugReports: https://github.com/smouksassi/ggquickeda/issues
License: MIT + file LICENSE
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

Documentation:

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

Downloads:

Package source: ggquickeda_0.3.1.tar.gz
Windows binaries: r-devel: ggquickeda_0.3.1.zip, r-release: ggquickeda_0.3.1.zip, r-oldrel: ggquickeda_0.3.1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ggquickeda to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.