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: 0.1.3
Depends: R (≥ 3.1.0)
Imports: colourpicker, dplyr, DT, Formula, GGally, ggplot2, ggstance, ggpmisc, ggrepel (≥ 0.7.0), ggpubr, survminer, grDevices, grid, gridExtra, Hmisc, lazyeval, markdown, methods, plotly, quantreg, rlang, scales, shiny (≥ 1.0.4), shinyjs, stats, stringr, survival, tidyr, table1 (≥ 1.1), utils
Suggests: knitr, rmarkdown
Published: 2019-04-10
Author: Samer Mouksassi ORCID iD [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>
License: MIT + file LICENSE
NeedsCompilation: no
SystemRequirements: pandoc with https support
Materials: README NEWS
CRAN checks: ggquickeda results


Reference manual: ggquickeda.pdf
Vignettes: Introduction to ggquickeda
Additional Plots and Stats with ggquickeda
Package source: ggquickeda_0.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: ggquickeda_0.1.3.tgz, r-oldrel: ggquickeda_0.1.2.tgz
Old sources: ggquickeda archive


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