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'.

Documentation

Manual: plotluck.pdf
Vignette: Plotluck

Maintainer: Stefan Schroedl <stefan.schroedl at gmx.de>

Author(s): Stefan Schroedl*

Install package and any missing dependencies by running this line in your R console:

install.packages("plotluck")

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
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Package plotluck
Materials
URL https://github.com/stefan-schroedl/plotluck
Task Views
Version 1.1.0
Published 2016-11-13
License MIT + file LICENSE
BugReports https://github.com/stefan-schroedl/plotluck/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks plotluck check results
Package source plotluck_1.1.0.tar.gz