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plotluck
View on CRAN: Click
here
Download and install plotluck package within the R console
Install from CRAN:
install.packages("plotluck")
Install from Github:
library("remotes")
install_github("cran/plotluck") Install by package version:
library("remotes")
install_version("plotluck", "1.1.1") Attach the package and use:
library("plotluck")
Maintained by
Stefan Schroedl
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-22
Latest Update: 2019-06-26
Description:
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'.
How to cite:
Stefan Schroedl (2016). plotluck: 'ggplot2' Version of "I'm Feeling Lucky!". R package version 1.1.1, https://cran.r-project.org/web/packages/plotluck. Accessed 08 Mar. 2026.
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Other R packages that plotluck depends,
imports, suggests or enhances
Complete documentation for plotluck
Functions, R codes and Examples using
the plotluck R package
Some associated functions: plotluck . plotluck.options . sample.plotluck .
Some associated R codes: plotluck.R . Full plotluck package functions and examples
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