for the size of your data file, I think R can handle it. of course, it also depends on your hardware. however, it might not be a good idea to do heavy data manipulation work in R.
stata has very good routine for survey analysis. i am not sure if R is as good as stata in terms of survey analysis. S programming by the same authors as MASS might be a good reference good you would like it on your shelf. On 3/1/07, Zembower, Kevin <[EMAIL PROTECTED]> wrote: > I hope this question is sufficiently different from the other requests > for book recommendations that it's not repetitious. If not, I apologize > in advance. > > I'm curious what standard reference books working statisticians, or > biostatisticians, have within easy reach of their desk. I'm a computer > systems administrator, and have a two-foot bookshelf directory under my > monitor that contains 13 paperback manuals that I refer to frequently, > some once or twice a day. Are there standard reference works for > statisticians that are used the same way? From reading this list, I'm > guessing that one might be W. N. Venables and B. D. Ripley (2002), > "Modern Applied Statistics with S. Fourth Edition", Springer, ISBN > 0-387-95457-0. However, I'm not limiting this to books pertaining to R. > > On the other hand, maybe Google and other on-line sources, as well as > interactive programs like R that can spit out numbers previously looked > up in tables, have completely replaced the need for reference books. Is > this the case today? > > I'm particularly interested in reference books that may be helpful in my > organization's work. We typically deal with datasets from international > Demographic and Health Surveys (DHS) similar to those available at > http://www.measuredhs.com/aboutsurveys/search/search_survey_main.cfm?Srv > yTp=type&listtypes=1. These typically contain 10,000+ respondents and > can have up to 800 fields. We currently analyze these datasets using > Stata. > > Thanks for taking the time to think about and respond to this question. > I'll summarize the answers in a later post for the archive. > > -Kevin > > Kevin Zembower > Internet Services Group manager > Center for Communication Programs > Bloomberg School of Public Health > Johns Hopkins University > 111 Market Place, Suite 310 > Baltimore, Maryland 21202 > 410-659-6139 > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- WenSui Liu A lousy statistician who happens to know a little programming (http://spaces.msn.com/statcompute/blog) ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
