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StatET for R
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Monday, February 6, 2023 - 06:39
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For me, far the best IDE for R
Submitted by Miguel Alvarez on Sun, 2023-01-29 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.
Getting it working on MacOS
Submitted by Matthew Gerring on Thu, 2021-04-15 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, 2019-07-25 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, 2013-02-03 06:49
Very nice integration of R into Eclipse!