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plotluck  

'ggplot2' Version of "I'm Feeling Lucky!"
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]
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 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2016-09-22 23:06), 1.1.0 (2016-11-13 02:07)
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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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