[R] Another newbie book recommandation question

Wensui Liu liuwensui at gmail.com
Thu Mar 1 17:16:19 CET 2007


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 <kzembowe at jhuccp.org> 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
>
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-- 
WenSui Liu
A lousy statistician who happens to know a little programming
(http://spaces.msn.com/statcompute/blog)



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