On Saturday 12 March 2005 14:42, Wensui Liu wrote: > I am sorry that I did not state my question clearly. > > What I mean by data manipulation includes sort, merge, aggregate, > transpose, data export and import, format, date & time handle, and so > on, which might be not important to statistician. > > I have use SAS and SPSS for a while and really want to use R as an > alternative computing system. Unless R/S+ can provide strong > functionality in data manipulation as SAS does, it is hard to compete > with SAS in business rather than in academic.
Take a look at the 'R Data Import/Export' manual at http://cran.us.r-project.org/manuals.html as well as http://cran.us.r-project.org/other-docs.html -- âAn Introduction to S and the Hmisc and Design Librariesâ by Carlos Alzola and Frank E. Harrell, especially of interest to SAS users, users of the Hmisc or Design packages, or R users interested in data manipulation, recoding, etc. might cover some of what you are looking for. > > On Sat, 12 Mar 2005 15:34:06 +0100, Thomas SchÃnhoff <[EMAIL PROTECTED]> wrote: > > Hallo, > > > > Am Samstag, 12. MÃrz 2005 15:08 schrieb Wensui Liu: > > > In real world, data manipulation might take even longer time and > > > more effort than statistical analysis and modeling. > > > > > > Does anyone know a good book and tutorial about data > > > manupulation? Thank you so much. > > > > Well, it would be much easier to meet your demands if you could > > give us an idea what you exactly looking for. > > Anyway, there are some recommendations in R-Manual regarding > > introduxtory materials on doing statistics in R. If I remember > > correctly there are also some advices on r-cran.org in the generell > > FAQ. > > If you're looking for some introductory stuff doing data > > manipulation in R the book of Peter Dalgaard, Introductory > > Statistics with R should be taken into consideration. > > Not long time ago there was a similar question to this list, giving > > the whole range of available books on statistics in S/R . Have a > > look at http://maths.newcastle.edu.au/~rking/R/, you'll will be > > overwhelmed. > > Last but not least, if you look at r-cran website you'll find in > > contributed section some case-oriented tutorials, i.e. data mining > > or similar stuff! > > > > regards > > > > Thomas ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html