[R-SIG-Mac] R for Mac, good enough?

Deniz Kellecioglu deniz.kellecioglu at gmail.com
Mon Dec 13 17:25:19 CET 2010


Thank you all for your reply and comments. I have actually come to  
like R a lot already. Yes, it takes some time to learn, especially  
since I am not used to programmming language.

Respect to all involved!!!


Deniz Kellecioglu
International economist



On 9 Dec 2010, at 19:51, Payam Minoofar wrote:

> The power of R is virtually unmatched, and R for Mac works extremely  
> well.
>
> The learning curve is steep, however, and documentation is difficult  
> to grasp, even though it is abundantly available. I am more partial  
> to a commercial data analysis package with which I grew up, but I  
> have done enough work with R on the mac platform to recommend it  
> highly.
>
> With the caveat that it takes some time to learn. Once you have  
> learned the language, however, you are truly not limited in any way  
> in what you can do.
>
> Install R and search the packages library for any packages that  
> specifically address your needs. If they exist, start learning!
> _____
> Payam Minoofar, Ph. D.
> Scientist
> Meissner Filtration Products
> 4181 Calle Tesoro
> Camarillo, CA 93001
> 805.388.9911 extension 159
> 805.388.5948 fax
> www.meissner.com
> payam.minoofar at meissner.com
>
>
>
> On Dec 9, 2010, at 3:00 AM, <r-sig-mac-request at r-project.org> wrote:
>
>> Send R-SIG-Mac mailing list submissions to
>> 	r-sig-mac at r-project.org
>>
>> To subscribe or unsubscribe via the World Wide Web, visit
>> 	https://stat.ethz.ch/mailman/listinfo/r-sig-mac
>> or, via email, send a message with subject or body 'help' to
>> 	r-sig-mac-request at r-project.org
>>
>> You can reach the person managing the list at
>> 	r-sig-mac-owner at r-project.org
>>
>> When replying, please edit your Subject line so it is more specific
>> than "Re: Contents of R-SIG-Mac digest..."
>>
>>
>> Today's Topics:
>>
>>  1.  R for Mac, good enough? (Deniz Kellecioglu)
>>  2. Re:  R for Mac, good enough? (Berend Hasselman)
>>
>>
>> ----------------------------------------------------------------------
>>
>> Message: 1
>> Date: Fri, 3 Dec 2010 10:33:48 +0200
>> From: Deniz Kellecioglu <deniz.kellecioglu at gmail.com>
>> To: r-sig-mac at stat.math.ethz.ch
>> Subject: [R-SIG-Mac] R for Mac, good enough?
>> Message-ID: <998B1280-1D48-492D-86A4-74DBADBBDA10 at gmail.com>
>> Content-Type: text/plain; charset=US-ASCII; format=flowed; delsp=yes
>>
>> Dear R and Mac friend,
>>
>> I am rather impressed by R, but dont know if it is worthwile to spend
>> time learning it, if the Mac version is not comprehensive enough. I  
>> am
>> a PhD student in macroeconometrics, with focus on time-series.
>>
>> Would you recommend me to use R in that case? And which material and
>> packages would you recommend to go trough and download?
>>
>>
>> Sincere regards
>> Deniz
>>
>>
>>
>> ------------------------------
>>
>> Message: 2
>> Date: Thu, 9 Dec 2010 09:03:29 +0100
>> From: Berend Hasselman <bhh at xs4all.nl>
>> To: Deniz Kellecioglu <deniz.kellecioglu at gmail.com>
>> Cc: r-sig-mac at stat.math.ethz.ch
>> Subject: Re: [R-SIG-Mac] R for Mac, good enough?
>> Message-ID: <9689455F-262C-419E-A7A8-28AAF793DC57 at xs4all.nl>
>> Content-Type: text/plain; charset=us-ascii
>>
>>
>> On 03-12-2010, at 09:33, Deniz Kellecioglu wrote:
>>
>>> Dear R and Mac friend,
>>>
>>> I am rather impressed by R, but dont know if it is worthwile to  
>>> spend time learning it, if the Mac version is not comprehensive  
>>> enough. I am a PhD student in macroeconometrics, with focus on  
>>> time-series.
>>>
>>
>> I wouldn't worry about the quality of the Mac version of R. It just  
>> works.
>> It is more than excellent.
>> The GUI R.app is easy and fun to use.
>> Commandline R works just fine.
>> 32-bit and 64-bit version.
>> All thanks to the work of Simon Urbanek.
>>
>> And there is a brilliant interface to R for the TextMate editor.
>>
>>> Would you recommend me to use R in that case? And which material  
>>> and packages would you recommend to go trough and download?
>>
>> Goto CRAN and download the installer package for Mac OS X:  
>> R-2.12.0.pkg
>> If you haven't worked with R before, you should look at the Rintro  
>> manual.
>> Goto CRAN and click on Manuals; you'll be taken to the page with an  
>> overview of R documentation.
>>
>> For further packages you can have a look at Task Views (also on  
>> CRAN). Have a look at the TimeSeries view.
>>
>> Enjoy.
>>
>> /Berend
>>
>>
>> ------------------------------
>>
>> _______________________________________________
>> R-SIG-Mac mailing list
>> R-SIG-Mac at r-project.org
>> https://stat.ethz.ch/mailman/listinfo/r-sig-mac
>>
>>
>> End of R-SIG-Mac Digest, Vol 94, Issue 4
>> ****************************************
>



More information about the R-SIG-Mac mailing list