I used R for my master thesis (with big effort, anyway) and now I find 
difficult to use R in my daily work, becasue it has really serious problems 
with datasets of big dimension, both in the data manipulation step and in the 
analysis step.

But I really would love to use it, as I like its transparence, compared to 
other software.

Laura

***********

> Date: Wed, 6 May 2009 06:42:45 -0700
> From: jrkrid...@yahoo.ca
> To: r-h...@stat.math.ethz.ch; fjb...@gmail.com
> CC: ross.laza...@gmail.com; gregory_war...@urmc.rochester.edu; g...@warnes.net
> Subject: Re: [R] Do you use R for data manipulation?
> 
> 
> 
> 
> --- On Wed, 5/6/09, Farrel Buchinsky <fjb...@gmail.com> wrote:
> 
> > Is R an appropriate tool for data
> > manipulation and data reshaping and data
> > organizing? I think so but someone who recently joined our
> > group thinks not.
> 
> I only do small scale projects and am by no means a programmer. Isn't Perl 
> something for earings?
> 
> That said, I find R to be extremely useful at data manipulation and have used 
> it exclusively in my last three projects.  The different data structures 
> alone are worth their weight in gold, if for nothing else than making it 
> harder to make stupid mistakes in coding. 
> 
> > The new recruit believes that python or another language is
> > a far better tool for developing data manipulation scripts that can be
> > then used by> several members of our research group. Her assessment is
> > that R is useful> only when it comes to data analysis and working with
> > statistical models.
> 
> Any reason that she thinks this?  How well does she know R?  It is not 
> exactly a language that one picks up in a week, especially if one is coming 
> from using a stats package like SAS or SPSS. As an ex-SAS and SYSTAT user it 
> took me weeks to just get comfortable with the power of subscripting and the 
> ability to do all kinds of calculations "in-line".
> 
> > So what do you think:
> > 1)R is a phenomenally powerful and flexible tool and since you are going > 
> > to do analyses in R you might as well use it to read data in and merge 
> > it and reshape it to whatever you need.
> 
> Definately. I am not a computer scientist or a statistician. I usually am 
> working as a single contractor and normally with small datasets as part of a 
> larger project.  R does what I want, usually very elegantly (albeit perhaps 
> after a lot of headbanging and calls for help to the R-list) and it would be 
> stupid for me to use more than one language when it is not needed.  
> 
> Another plus is that I can  easily leave my data analysis work and a working 
> copy of R with the client.  He/she may have a problem seeing what I did but 
> it is clearly readable & replicable by either the client or another 
> consultant.
> 
> > OR
> > 2) Are you crazy? Nobody in their right mind uses R to pipe
> > the data around their lab and assemble it for analysis.
> 
> Well I don't work in a lab but why complicate things? If everyone is using 
> the same tools then you have a good situation.  Others who do work in labs 
> can address this point more cogently 
> 
> >From a personnel point of view do you expect everyone in the lab to be 
> >proficient with R and, for example, Perl? What happens when/if you lose your 
> >Perl expert(s)?  I've had occasions where I waited a week for data simply 
> >because the division's MS Access "expert" was on holiday and the only other 
> >"Access" person there only knew how to enter data and run the monthly 
> >reports.  Anything more complicated required the "expert".
> 
> 
> 
> 
> 
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