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: 0.3.1 Depends: R (≥ 4.1.0) Imports: colourpicker, dplyr, data.table, DT, Formula, GGally (≥ 2.1.0), ggbeeswarm, ggh4x, ggplot2 (≥ 3.4.0), ggpmisc, ggrepel (≥ 0.7.0), ggpubr, ggstance, glue, gridExtra, Hmisc, markdown, methods, plotly, quantreg, rlang, scales, shiny (≥ 1.0.4), shinyjs (≥ 1.1), shinyjqui, stringr, survival, survminer, tidyr, table1 (≥ 1.4.2), zoo, shinyFiles, RPostgres, forcats, ggridges, rms, tibble, patchwork (≥ 1.2.0) Suggests: knitr, rmarkdown Published: 2024-01-15 DOI: 10.32614/CRAN.package.ggquickeda Author: Samer Mouksassi [aut, cre], 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 at gmail.com> BugReports: https://github.com/smouksassi/ggquickeda/issues License: MIT + file LICENSE URL: https://github.com/smouksassi/ggquickeda, https://smouksassi.github.io/ggquickeda/ NeedsCompilation: no SystemRequirements: pandoc with https support Materials: README, NEWS CRAN checks: ggquickeda results [issues need fixing before 2025-09-03] Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ggquickeda to link to this page.
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