ggquickeda: Quickly Explore Your Data Using 'ggplot2' and Summary Tables

Quickly and easily perform exploratory data analysis by uploading your data as a 'csv' file. Start generating insights using 'ggplot2' plots and tables with descriptive stats, all using an easy-to-use point and click 'Shiny' interface.

Version: 0.1.0
Depends: R (≥ 3.1.0)
Imports: colourpicker, dplyr, DT, Formula, ggplot2, ggrepel (≥ 0.7.0), grDevices, grid, gridExtra, Hmisc, lazyeval, markdown, methods, plotly, quantreg, rlang, scales, shiny (≥ 1.0.4), shinyjs, stats, stringr, survival, tidyr, utils
Suggests: knitr, rmarkdown
Published: 2018-04-25
Author: Samer Mouksassi [aut, cre], Dean Attali [aut], Michael Sachs [aut] (provided ggkm code), Benjamin Rich [aut] (provided table1 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

Downloads:

Reference manual: ggquickeda.pdf
Vignettes: Introduction to ggquickeda
Additional Plots and Stats with ggquickeda
Package source: ggquickeda_0.1.0.tar.gz
Windows binaries: r-devel: ggquickeda_0.1.0.zip, r-release: ggquickeda_0.1.0.zip, r-oldrel: ggquickeda_0.1.0.zip
OS X binaries: r-release: ggquickeda_0.1.0.tgz, r-oldrel: ggquickeda_0.1.0.tgz

Linking:

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