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:	0.2.2
Depends:	R (≥ 3.6.0)
Imports:	colourpicker, dplyr, DT, Formula, GGally (≥ 2.1.0), ggbeeswarm, ggplot2 (≥ 3.3.4), ggpmisc, ggrepel (≥ 0.7.0), ggpubr, gridExtra, Hmisc, markdown, methods, plotly, quantreg, rlang, scales, shiny (≥ 1.0.4), shinyjs (≥ 1.1), shinyjqui, stringr, survival, survminer, tidyr, table1 (≥ 1.2), zoo, shinyFiles, RPostgres
Suggests:	knitr, rmarkdown
Published:	2022-05-16
Author:	Samer Mouksassi [aut, cre], Dean Attali [aut], Benjamin Rich [aut] (provided summary stats tables tab code), Michael Sachs [aut] (provided ggkm 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
NeedsCompilation:	no
SystemRequirements:	pandoc with https support
Materials:	README NEWS
CRAN checks:	ggquickeda results

Documentation:

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

Downloads:

Package source:	ggquickeda_0.2.2.tar.gz
Windows binaries:	r-devel: ggquickeda_0.2.2.zip, r-release: ggquickeda_0.2.2.zip, r-oldrel: ggquickeda_0.2.2.zip
macOS binaries:	r-release (arm64): ggquickeda_0.2.2.tgz, r-oldrel (arm64): ggquickeda_0.2.2.tgz, r-release (x86_64): ggquickeda_0.2.2.tgz, r-oldrel (x86_64): ggquickeda_0.2.2.tgz
Old sources:	ggquickeda archive

Linking:

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