Package: ggquickeda
Title: Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary
        Tables
Version: 0.3.2
Authors@R: c(
    person("Samer", "Mouksassi", email = "samermouksassi@gmail.com",
      role = c("aut", "cre"),comment = c(ORCID = "https://orcid.org/0000-0002-7152-6654")),
    person("Dean", "Attali", email = "daattali@gmail.com",
      role = c("aut")),
    person("James", "Craig", email = "james.craig@certara.com",
      role = c("aut"), comment = "implemented bookmarking and created pkgdown website"),
    person("Benjamin", "Rich", email = "mail@benjaminrich.net",
      role = c("aut"), comment = "provided summary stats tables table1 tab code"), 
    person("Michael", "Sachs", email = "sachsmc@gmail.com",
      role = c("aut"), comment = "provided ggkm initial code")
    )
Description: 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.
URL: https://github.com/smouksassi/ggquickeda,
        https://smouksassi.github.io/ggquickeda/
BugReports: https://github.com/smouksassi/ggquickeda/issues
Depends: R (>= 4.1.0)
Imports: colourpicker, dplyr, data.table, DT, Formula, forcats, GGally
        (>= 2.1.0), ggbeeswarm, ggh4x, ggplot2 (>= 3.4.0), ggpmisc,
        ggrepel (>= 0.7.0), ggridges, ggpubr, ggstance, glue,
        gridExtra, Hmisc, markdown, methods, patchwork (>= 1.2.0),
        plotly, quantreg, rlang, rms, RPostgres, scales, shiny (>=
        1.0.4), shinyFiles, shinyjs (>= 1.1), shinyjqui, stringr,
        survival, survminer, tibble, tidyr, table1 (>= 1.4.2), zoo
Suggests: knitr, rmarkdown
License: MIT + file LICENSE
SystemRequirements: pandoc with https support
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-15 20:35:48 UTC; smouksassi
Author: Samer Mouksassi [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-7152-6654>),
  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@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-15 21:20:02 UTC
Built: R 4.4.3; ; 2025-11-24 07:09:15 UTC; windows
