[R] Statistical computing
tmurph6 at po-box.mcgill.ca
Mon Mar 31 16:04:25 CEST 2003
Thanks to all who have replied to this. I find the advice very encouraging.
I've been reading the recommended links on Sweave and I think it will answer a
major part of my goals.
As for Perl vs. Python, I don't know which would be best. I've started out in
Perl because someone got me started with a little Perl program, but I've
looked at Python, too. I'm working in Windows (and that's not likely to change
anytime soon--at the office, anyway) and I think WinEdt serves as a good
enhanced editor for the main applications--LaTex, R and Perl--as well as a way
to organize the files for a project. The GUI for Pyton seems nice, too,
Saghir, why do you prefer Python?
Is there a fairly easy way to become SAS-free for data management and
cleaning? I'm told R is really not ideal for data cleaning. Is this what RODBC
>===== Original Message From "Bashir Saghir (Aztek Global)"
<Saghir.Bashir at UCB-Group.com> =====
>Have you considered using Python (www.python.org) instead of Perl? I use
>Python, LaTeX, and R for doing what you describe. My process is evolving and
>cannot recommend it as being the best. Essentially I am moving towards a
>database approach currently using dictionaries in Python. In the longer term
>I plan to switch to MySQL.
>In summary I split the problem into bits that link into a relational
>database and use meta data to run my reports. So once the data base is set
>up I only need to give the key information and my programs find all relevant
>information in the database meaning that I never need to modify any programs
>to run a report with new data - just the database.
>I don't know of any references for this bnut if you get any to your original
>query I would be interested.
>> -----Original Message-----
>> From: Tanya Murphy [SMTP:tmurph6 at po-box.mcgill.ca]
>> Sent: Friday, 28 March, 2003 5:42 PM
>> To: r-help
>> Subject: [R] Statistical computing
>> I've been trying to familiarize myself with the computing tools of the
>> (e.g. SAS, R, Perl, LaTex) and I've been getting somewhere with the
>> programs, but I'm trying to get a better sense of how to integrate these
>> tools. I'd like to use scripts and create reports in a more organized way.
>> anyone recommend books or, better yet free online articles, on this topic?
>> Maybe I should be a little more specific about what I do: I'm a research
>> assistant in clinical epidemiology doing mainly data management and
>> I do a number of repetitive tasks like updating a research database from
>> original clinic database and other sources, create reports, create
>> output for individual patients, as well as work on individual research
>> projects. Unfortunately I am not working closely with 'real' statisticians
>> have probably developped good work habits using these tools. Any advice on
>> 'the big picture' would be greatly appreciated.
>> Tanya Murphy
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