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: | 0.1.7 |
Depends: | R (≥ 3.6.0) |
Imports: | colourpicker, dplyr, DT, Formula, GGally, ggplot2 (≥ 3.3.1), ggpmisc, ggrepel (≥ 0.7.0), ggstance, ggpubr, grDevices, grid, gridExtra, Hmisc, lazyeval, markdown, methods, plotly, quantreg, rlang, scales, shiny (≥ 1.0.4), shinyjs (≥ 1.1), shinyjqui, stats, stringr, survival, survminer, tidyr, table1 (≥ 1.1), utils |
Suggests: | knitr, rmarkdown |
Published: | 2020-07-21 |
Author: | Samer Mouksassi [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 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 |
Reference manual: | ggquickeda.pdf |
Vignettes: |
Introduction to ggquickeda Additional Plots and Stats with ggquickeda |
Package source: | ggquickeda_0.1.7.tar.gz |
Windows binaries: | r-devel: ggquickeda_0.1.7.zip, r-release: ggquickeda_0.1.7.zip, r-oldrel: ggquickeda_0.1.7.zip |
macOS binaries: | r-release: ggquickeda_0.1.7.tgz, r-oldrel: ggquickeda_0.1.7.tgz |
Old sources: | ggquickeda archive |
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