Here are my current picks for best editors in R, where "best" means
- free,
- easy to install, and
- intuitive to use.
[For these editors, there might be versions for MacOS and Unix, but if you are going to run the programs from Doing Bayesian Data Analysis that call BRugs, then you'll need to run the 32-bit Windows version of R and (I presume) run the editor in Windows too. But if you don't use BRugs, and instead use JAGS with rjags, then you should get the version of the editor that is appropriate for your operating system.]
1. RStudio
Available at http://www.rstudio.org/
2. Notepad++ with the add-on NppToR.
Get Notepadd++ from http://notepad-plus-plus.org/ and
get the NppToR add-on from http://sourceforge.net/projects/npptor/
3. Tinn-R
Available at http://sciviews.org/Tinn-R/
Although mentioned in the textbook, Tinn-R does not install seamlessly for a lot of users.
Additional suggestions or comments about these editors are welcome.
Yep. R Studio would be my pick of the bunch for someone new to R and new to programming.
ReplyDeleteThat said, there are good arguments to get comfortable with a particular editor and then adopt tools to integrate with R. For those wanting to adopt a more serious editor, I'd recommend Vim with the Vim R plugin or Emacs with ESS; a third decent option is Eclipse with Stat ET.
I'm currently using Vim with Vim-R, but it has required a fair amount fiddling to get working the way that I like. I would only recommend Vim-R to someone who was already using Vim or keen to learn Vim.
on linux, ubuntu ... : best editors (IMO) are kate, Rkward
ReplyDeleteAnother free, easy to install, and intuitive to use R-IDE I would recommend is RKWard. It's open source, availible for Windows, Mac and Linux, and it's being actively developed.
ReplyDeleteDear Fred: Thanks for pointing out RKWard. It would be nice if RKWard included Bayesian analyses in its menu, not just frequentist! In particular, it might be easy for the RKWard developers to include the Bayesian two-group comparison program from http://www.indiana.edu/~kruschke/BEST/
ReplyDeleteThe following comment applies only for Windows Users
ReplyDeleteI have been using R for years, and I don't think RStudio is only a good choice for newcomers.
As long as most the code you write is R and not Java, Python, PHP, etc. RStudio is the best choice. (I did not mention C++ because it's usage is promoted by RStudio.)
Afterfter having tried RGui, Tinn-R, (R)WinEdit (not free), Eclipse/StatET I finally have settled with RStudio.
The two main reasons are:
- RStudio offers remarkable good debugging and intellisense support (My personal benchmark is the Microsoft's VBA Editor)
- RStudio is easy to install.
Even on Win7 system where I have only restricted rights I got it functional,
Not even for me but for all people with access to the installation folder.
There is one disadvantage, If you need only need a short look into a source script, opening with a lightweight editor takes much less time than opening it wirh RStudio.