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I use R as my primary data-analysis tool for almost all of my work, with occasional recourse to SAS for certain specialized models (e.g., PROC GLIMMIX for generalized mixed models).

My only complaint is the awful default IDE, which can be mitigated to a large extent by scripting elsewhere and source()ing the script, and some odd edge behaviors including the mystifying row names of dataframes, the difficulty of dropping unused factor levels from aggregated or sliced data (another dataframe issue), and the perhaps unnecessary obscurity of some of the plotting functions (although holding R responsible for the lattice library is unfair).

All that said, for a free tool, it's extraordinary, and the authors of the base language and the many packages that I use have my gratitude.



Default IDE? Do you mean the R interpreter REPL? If you are looking for a nice IDE for R, I would suggest RStudio: http://rstudio.org/


Why do all the R guis depend on QT? Is qt big in science applications in general?


Totally agree, R studio has made my life much easier.


This looks slick, thanks for the pointer!


I love R--but I end up using Stata more often because it is easier to produce vector graphics that can be imported to Illustrator. I wish that the R community would start to focus on graphics.


I've had some success with output from lattice using Cairo's SVG option, although you're right that it's never easy. Self-citing, the plots in these pubs were generated as above (JoCN may be behind a paywall):

http://www.frontiersin.org/human_neuroscience/10.3389/fnhum.... http://www.mitpressjournals.org/doi/abs/10.1162/jocn_a_00089

I'll need to give Stata a look, too.




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