Tools Commonly used to Program in R

与世无争的帅哥 提交于 2019-12-03 00:08:42

Emacs has everything I commonly need:

  • ESS (for R),
  • AucTeX (for Latex),
  • similarly rich 'modes' for other languages I use (C++, make, shell, ...),
  • plus a lot of other modes you get quite used to as e.g. dired for directory/file browsing or org-mode as planner/to-do list,
  • the SVN integration is very good too
  • and there are probably a number of tools within Emacs I am now forgetting.

Works in text mode as well as graphical mode, and works essentially the same (incl ESS and AucTeX) on several operating systems (Linux mostly and Windows when I must). On Debian/Ubuntu all this is prepackaged and tends to work out of the box as well. For both Windows and OS X, Vincent Goulet has package very handy bundles, see here.

The 'daemon mode' is outstanding too -- I keep the same main Emacs session running and just connect and re-connect to it even when accessing the machine (via ssh or directly) from different computers.

Also see the EmacsWiki for more tips around Emacs.

Back to Emacs and R in particular. The R FAQ says it pretty well:

and I like the affirmative and resounding answer to the second question: "Yes, definitely". I fully concur.

I'll second the suggestion that Emacs compliments R nicely, but let me share what the "killer feature" is for me.

Using Org-mode with Org-babel, I can write whole reports with inline graphs produced from R in raster and vector format which compiles seamlessly into a PDF report via latex. I can also view the graphs while editing, similar to a WYSIWYG editor.

I just wrapped up a major report with over 70 inline graphs with little effort, no editing external files, no issues maintaining naming between figures in my report and external files, or forgetting to recompile the latest version of a figure. Org & Babel does it all.

Org-mode: http://orgmode.org/

Org-Babel: http://orgmode.org/worg/org-contrib/babel/index.php

Example of inline R with Babel and PDF output, see the first example in multiple formats: http://orgmode.org/worg/org-contrib/babel/languages/ob-doc-R.php

Enjoy!

This is probably more relevant for package development, but it is also worth mentioning the roxygen R package that allows in-source documentation of your code. Note that even though you can't see yourself developing R packages anywhere in the near future, a package can be a very handy way of grouping related functions you develop and maintain, consistently documenting the code and keeping track of updates, even if you do not plan to distribute it.

I use a mac, and my most important tools are:

  • the command line, for running R
  • git, for keeping track of changes
  • github for publishing my code, bug tracking and collaboration
  • textmate for writing R code

Has anyone tried RStudio? It's the shiny new editor for R.

I use windows... (don't say it).

I like Notepad++ and NPPtoR. Makes it pretty easy to send things back and forth.

I use Eclipse on Windows and Linux. I compile LaTeX code (with Sweave) on Linux and I haven't bothered yet to set up the whole process in Eclipse. I need to pdflatex and bibtex files several times anyway, so I just have a terminal window with the specific string of commands handy. I tried ESS and Eclipse and they're very similar in functionality (and in my opinion the best two editors out there).

I use Eclipse / StatEt on Windows, and it Rocks !. For LaTex/Sweave I use MikTex which works well for me. For help setting things up check out this document and this post.

Other Tools you may find useful include;

  • If you want to build R Packages on Windows, then get the RTools
  • For Creating Documents, you may want to check out odfWeave, LibreOffice (was OpenOffice) and the MSOffice ODF plugin
  • I have also dabbled with Git but also didn't get very far on Windows, but that was a while ago.
  • For Presentations in LaTex I recomend Beamer

I use Eclipse for both R and Latex while working on research papers. The plugins for both are very mature now. The nice thing is that you don't have to switch application while writing papers. I used different combination before but I found this to be the best.

I just got home from our local R User meeting (find one near you here) and of the 20 or so people there, all of us used a different program or tool to write R code in. I think that goes to show the diversity of the tools used to write and edit R code is just as diverse as the R community itself.

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