plotluck: 'ggplot2' Version of "I'm Feeling Lucky!"

Examines the characteristics of a data frame and a formula to automatically choose the most suitable type of plot out of the following supported options: scatter, violin, box, bar, density, hexagon bin, spine plot, and heat map. The aim of the package is to let the user focus on what to plot, rather than on the "how" during exploratory data analysis. It also automates handling of observation weights, logarithmic axis scaling, reordering of factor levels, and overlaying smoothing curves and median lines. Plots are drawn using 'ggplot2'.

Version: 1.1.1
Depends: R (≥ 3.1)
Imports: grid, Hmisc (≥ 3.17.4), quantreg (≥ 5.26), scales (≥ 0.4.1), plyr (≥ 1.8.4), hexbin (≥ 1.27.1), RColorBrewer (≥ 1.1.2), ggplot2 (≥ 2.2.0)
Suggests: testthat, ggplot2movies, mgcv, nlme, knitr, rmarkdown, gapminder
Published: 2019-06-26
Author: Stefan Schroedl [aut, cre]
Maintainer: Stefan Schroedl <stefan.schroedl at gmx.de>
BugReports: https://github.com/stefan-schroedl/plotluck/issues
License: MIT + file LICENSE
URL: https://github.com/stefan-schroedl/plotluck
NeedsCompilation: no
Materials: README
CRAN checks: plotluck results

Documentation:

Reference manual: plotluck.pdf
Vignettes: Plotluck

Downloads:

Package source: plotluck_1.1.1.tar.gz
Windows binaries: r-devel: plotluck_1.1.1.zip, r-release: plotluck_1.1.1.zip, r-oldrel: plotluck_1.1.1.zip
macOS binaries: r-release (arm64): plotluck_1.1.1.tgz, r-oldrel (arm64): plotluck_1.1.1.tgz, r-release (x86_64): plotluck_1.1.1.tgz
Old sources: plotluck archive

Linking:

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