[R] any book and tutorial about how to manipulate data with R/S+

[Deepayan Sarkar]

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 --

`An Introduction to S and the Hmisc and Design Libraries' 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 Schönhoff 
<tom_hoary at web.de> wrote:
> > Hallo,
> >
> > Am Samstag, 12. März 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