April 26, 2010
I need to make a choice between R and SAS. I am interested in genomic analysis, having done behavioral genetic research in graduate school, but I have little background in bioinformatics, etc.
Since the organizer has a background in computational genetics, I would like to ask how realistic it is for me to consider doing applied genetic analysis. I need to know more about the R language, and how best to learn it. I know of/have tutorials.
At this point, I have nothing to share.
I am a data analyst at Prevention Research Center in Berkeley where I have worked with a mathematical modeler on NIAAA and NIDA funded grants. I don't know R, but some S, a lot of LIMDEP, HLM, etc., currently getting a SAS certificate.
I attended a BASAS user's group meeting last Tuesday. SAS and R draw different audiences. R is much more predominantly male, more tightly clustered around age 35 or so, more white, and less formally dressed; also somewhat more geeky, but I do not mean that perjoratively. I suspect that R users take programming and data analysis more seriously than SAS users, who may be more career oriented than technically oriented. There were far more jobs announced or posted at the SAS meeting compared with the R meeting, where I don't believe there any job announcements made, certainly none from the audience. Conversation was easy to make. I didn't sample the pizza, so no opinion there.