Package: ggquickeda
Title: Quickly Explore Your Data Using 'ggplot2' and Summary Tables
Version: 0.1.0
Authors@R: c(
    person("Samer", "Mouksassi", email = "samermouksassi@gmail.com",
      role = c("aut", "cre")),
    person("Dean", "Attali", email = "daattali@gmail.com",
      role = c("aut")),
    person("Michael", "Sachs", email = "sachsmc@gmail.com",
      role = c("aut"), comment = "provided ggkm code"),
    person("Benjamin", "Rich", email = "mail@benjaminrich.net",
      role = c("aut"), comment = "provided table1 code")  
    )
Description: 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.
URL: https://github.com/smouksassi/ggquickeda
BugReports: https://github.com/smouksassi/ggquickeda/issues
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
License: MIT + file LICENSE
SystemRequirements: pandoc with https support
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-25 06:31:07 UTC; smouksas
Author: Samer Mouksassi [aut, cre],
  Dean Attali [aut],
  Michael Sachs [aut] (provided ggkm code),
  Benjamin Rich [aut] (provided table1 code)
Maintainer: Samer Mouksassi <samermouksassi@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-25 10:15:05 UTC
