[R] help with manipulating data frames (survey analysis)

Petr PIKAL petr.pikal at precheza.cz
Thu Jun 19 10:12:46 CEST 2008


Hi

Try also to look at Rtips by Paul Johnson (first hit in Google "Statsrus") 
It is quite well organised set of introductory tips vhat to do with data.

Regards

Petr
petr.pikal at precheza.cz
724008364, 581252140, 581252257


r-help-bounces at r-project.org napsal dne 18.06.2008 21:27:21:

> Thanks, I checked that site out but you are right, that's not what I 
need.
> 
> Price isn't an issue for me. I have access to pretty much any book 
through
> my library or interlibrary loan.
> 
> Thanks again,
> Marvin
> 
> On Wed, Jun 18, 2008 at 12:23 PM, Patrick Burns 
<pburns at pburns.seanet.com>
> wrote:
> 
> > S Poetry might help you, though it is not exactly
> > what you are describing.  But the price is right.
> >
> > Patrick Burns
> > patrick at burns-stat.com
> > +44 (0)20 8525 0696
> > http://www.burns-stat.com
> > (home of S Poetry and "A Guide for the Unwilling S User")
> >
> > Marvin Lists wrote:
> >
> >> Dear all,
> >>
> >> Can anyone recommend a good book or an online tutorial for using data
> >> frames
> >> in R?
> >>
> >> I want to do statistical analysis on some survey data and I can 
specify
> >> what
> >> I would like to do very easily in algorithmic terms. However, being a 
n00b
> >> to R I am struggling with getting R to execute what I want.
> >>
> >> I think all I need is some source that directs me in the right 
direction
> >> by
> >> walking me through some examples of common data frame operations 
(e.g.
> >> adding/removing variables, selecting/filtering cases, reversing 
scales,
> >> recoding variables, excluding missing values, splitting the responses
> >> based
> >> on values of a variable and so on).
> >>
> >> Thanks!
> >>
> >> Marvin
> >>
> >>        [[alternative HTML version deleted]]
> >>
> >> ______________________________________________
> >> R-help at r-project.org 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.
> >>
> >>
> >>
> >>
> >
> 
>    [[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at r-project.org 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.



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