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UpSet plots became popular as they became available as an R-library based on ggplot2, [3] and were subsequently re-implemented in various programming languages, such as Python, and others. [4] As of January 2024, UpSetR has been downloaded from CRAN more than 1.5 million times, although it was last updated 5 years ago. [ 5 ]
ggplot2 is an open-source data visualization package for the statistical programming language R.Created by Hadley Wickham in 2005, ggplot2 is an implementation of Leland Wilkinson's Grammar of Graphics—a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers. ggplot2 can serve as a replacement for the base graphics in R and contains a ...
A violin plot (on the left) and a sina plot (on the right) for the same sample. A sina plot is a type of diagram in which numerical data are depicted by points distributed in such a way that the width of the point distribution is proportional to the kernel density.
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.
RStudio IDE (or RStudio) is an integrated development environment for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser .
ROSE: an open source compiler framework to generate source-to-source analyzers and translators for C/C++ and Fortran, developed at Lawrence Livermore National Laboratory MILEPOST GCC : interactive plugin-based open-source research compiler that combines the strength of GCC and the flexibility of the common Interactive Compilation Interface that ...
With an additional (free) package, it's also possible to generate SVG-graphs with R directly. See an example with code on Image:Circle area Monte Carlo integration2.svg. Other packages (lattice, ggplot2) provide alternative graphics facilities or syntax. Here is another example with data.
Compared to libraries in other programming languages, R packages must conform to a relatively strict specification. [3] The Writing R Extensions manual [7] specifies a standard directory structure for R source code, data, documentation, and package metadata, which enables them to be installed and loaded using R's in-built package management ...