Eclipse based IDE for the statistical programing language R.
It offers a set of mature tools for R coding and package building. This includes a fully integrated R Console, Object Browser, Package Manager, Debugger, Data Viewer and R Help System, whereas multiple local and remote installations of R are supported. The optional add-ons for Sweave and Wikitext (Commonmark/Markdown, Textile) provide source editors and build tools for LaTeX/Wikitext documents with R chunks.
StatET 4.10: Announcement | New and Noteworthy | Downloads
Advanced R Console: If you want to use the advanced console (RJ) with R, you need the R package 'rj' for your R version.
For GNU R see: RJSrv4GR project (installation instructions)
Tags: editor, console, debugger, r, data analysis, statistical analysis, sweave, science, reproducible documents, latex, markdown, commonmark, textile, fileExtension_r, fileExtension_rnw, fileExtension_rmarkdown, fileExtension_Rmd, fileExtension_Rcm, fileExtension_rtextile, fileExtension_Rtx-ftable, fileExtension_Rtx-ggplot, nature_org.eclipse.statet.ide.resourceProjects.Statet, nature_org.eclipse.statet.r.resourceProjects.R, nature_org.eclipse.statet.r.resourceProjects.RPkg, nature_org.eclipse.statet.r.apps.resourceProjects.RApp, nature_org.eclipse.statet.docmlet.resourceProjects.Tex, nature_org.eclipse.statet.docmlet.resourceProjects.Wikitext
Additional Details
Eclipse Versions: 2024-09 (4.33), 2023-12 (4.30), 2023-06 (4.28), 2022-12 (4.26), 2022-06 (4.24), 2021-12 (4.22), 2021-06 (4.20), 2020-12 (4.18), 2020-06 (4.16), 2019-12 (4.14), 2018-12 (4.10)
Platform Support: Windows, Mac, Linux/GTK
Organization Name: WalWare.de
Development Status: Production/Stable
Date Created: Thursday, September 2, 2010 - 13:29
License: EPL 2.0
Date Updated: Wednesday, December 4, 2024 - 15:28
Submitted by: Stephan Wahlbrink
| Date | Ranking | Installs | Clickthroughs |
|---|---|---|---|
| December 2024 | 260/568 | 15 | 5 |
| November 2024 | 260/658 | 51 | 14 |
| October 2024 | 292/663 | 39 | 8 |
| September 2024 | 250/642 | 56 | 14 |
| August 2024 | 237/641 | 58 | 15 |
| July 2024 | 198/663 | 92 | 11 |
| June 2024 | 236/681 | 69 | 14 |
| May 2024 | 260/682 | 62 | 19 |
| April 2024 | 263/687 | 62 | 14 |
| March 2024 | 260/694 | 69 | 9 |
| February 2024 | 242/687 | 72 | 278 |
| January 2024 | 263/691 | 64 | 14 |
Marketplace Drag to Install Button
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Reviews Add new review
R Statet IDE
Submitted by Christian Nasel on Fri, 03/17/2023 - 09:27
I am using the Statet plugin since 2015/16. Though some experience with the IDE in general may be of value using this software, in my opinion this is the best IDE available today. I use this software intensely for scientific purposes, where especially full script solutions are necessary. The stability of this software is absolutely convincing and we strongly recommend using the eclipse IDE with the Statet plugin.
For me, far the best IDE for R
Submitted by Miguel Alvarez on Sun, 01/29/2023 - 11:49
My first experience with IDEs for R was working with TinnR, which I remember as a very useful tool but with the limitation that this software was restricted to Windows (I currently work in Linux). StatET was introduced to me in the context of a job in the area of remote sensing and I was thrilled by the possibility of working with different programming languages in the same workbench. I found out in a book about RStudio and I commonly use it for teaching purposes and I have seen a lot of progress in the development of this software. Despite installing and setting StatET may be complicated, I still consider this as the best IDE for R. The functions I love most in StatET is the display of objects in Object Browser.
Reference to Learn Eclipse for R
Submitted by Abi Jabar on Fri, 01/19/2024 - 18:48
In reply to For me, far the best IDE for R by Miguel Alvarez
Kindly recommend the reference to learn how to set up and use Eclipse for R (including installing and setting StatET). Thanks for your kind help.
Getting it working on MacOS
Submitted by Matthew Gerring on Thu, 04/15/2021 - 08:42
It is quite hard to get working with R4 and compiling the rj package. For me to install rj on macos I had to do the following:
* brew install llvm # check llvm first in path, otherwise: `export PATH=/usr/local/opt/llvm/bin:$PATH`
* brew install pcre2
* sudo ln -s /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/* /usr/local/include/
* Add to .bash_profile the lines:
export LDFLAGS="-L/usr/local/opt/llvm/lib -Wl,-rpath,/usr/local/opt/llvm/lib
export CPPFLAGS="-I/usr/local/opt/llvm/include -I/usr/local/opt/llvm/include/c++/v1/
alias ld='ld.lld'
* source ~/.bash_profile
* wget download.walware.de/rj-4.0/src/contrib/rj_4.0.2-4.tar.gz
* R CMD INSTALL rj_4.0.2-4.tar.gz
* Install StatET from Eclipse Marketplace
For me the greatest tool for R
Submitted by Cédric Briand on Thu, 07/25/2019 - 03:23
Thanks so much for this development. Used in combination with Dbeaver, subclipse, egit and MoreClipboard, it's a powerfull tool for everyday scripting. The outline in complex sweave documents makes it very easy to navigate.
Very nice integration of R
Submitted by Erdal Karaca on Sun, 02/03/2013 - 06:49
Very nice integration of R into Eclipse!