Hi Deniz

I'm a master student in economics with a special interest in time series. I
use Emacs and ESS (Emacs Speaks Statistics) and Latex for reproducible
works. Packages in R for time series are

urca = e.g., checks if the variable have a unit root or not,
forecast = as the name implies
fPortfolio = have nice options for handling data
lattice = for display graphs
sandwich = NeweyWest covariance when correcting for autocorrelation and
heteroskedasticity
VAR = for interdependent variable estimation

Theres a whole bunch of packages but the great advantage of R is to create
you own functions

Enjoy

/Serdar

2010/12/9 <r-sig-mac-request@r-project.org>

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>   1.  R for Mac, good enough? (Deniz Kellecioglu)
>   2. Re:  R for Mac, good enough? (Berend Hasselman)
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> ----------------------------------------------------------------------
>
> Message: 1
> Date: Fri, 3 Dec 2010 10:33:48 +0200
> From: Deniz Kellecioglu <deniz.kellecioglu@gmail.com>
> To: r-sig-mac@stat.math.ethz.ch
> Subject: [R-SIG-Mac] R for Mac, good enough?
> Message-ID: <998B1280-1D48-492D-86A4-74DBADBBDA10@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@xs4all.nl>
> To: Deniz Kellecioglu <deniz.kellecioglu@gmail.com>
> Cc: r-sig-mac@stat.math.ethz.ch
> Subject: Re: [R-SIG-Mac] R for Mac, good enough?
> Message-ID: <9689455F-262C-419E-A7A8-28AAF793DC57@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
>
>
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> End of R-SIG-Mac Digest, Vol 94, Issue 4
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