The R'ers are prolific contributors!  Thank you everyone who offered
information/help. I will be back after I sift through all of these sources
and develop more questions.

Thanks!
Ben Nachtrieb

On Thu, Jul 1, 2010 at 8:23 AM, Jeff Ryan <jeff.a.ryan@gmail.com> wrote:

> With respect to what Brian said earlier, one of the powerful aspects
> of R is that there isn't 'one way' to do something.
>
> Depending on your needs, solutions come in different packages.  The
> downside to this is that it become a challenge to not learn the
> language per se, but more the 'best practices'
>
> To get the answer to that, or part of the answer at least, the best
> resource has to be the archives of R-SIG-Finance.  Additionally the
> papers/presentations from R/Rmetrics Meielisalp (going on this week in
> Switzerland for the 4th year...) and those from the 2009 and 2010
> conferences in Chicago www.RinFinance.com <http://www.rinfinance.com/>
>
> If you are looking to not reinvent the wheel, take a look there for
> inspiration.  Also I have quite a few slides/presentations that will
> give a good overview of things from an infrastructure perspective,
> albeit biased toward the packages I cover. (quantmod, xts, IBrokers,
> ...)
>
> http://www.quantmod.com
> http://www.quantmod.com/examples
>
> http://www.quantmod.com/Columbia2008/
> http://www.quantmod.com/Rmetrics2008/
> http://www.quantmod.com/Rmetrics2009/
> http://www.quantmod.com/Vienna2009/
>
> For time series, do read the vignettes on zoo and xts, as they will
> give you a taste of what both can do.  There is also a book about the
> time-series classes from Rmetrics that is free (in addition to some
> very nice ones that cost a little money).  The book isn't completely
> unbiased of course, but more information is always better.
>
> for xts specific manipulation tricks and tips, this is probably the
> easiest starting point:
>
> http://www.quantmod.com/examples/data/
>
> Enjoy and welcome to the wonderful world of R in Finance!
>
> Jeff
>
> On Thu, Jul 1, 2010 at 8:24 AM, Ben Nachtrieb <ben.nachtrieb@gmail.com>
> wrote:
> > Ulrich,
> >
> > Oh, yes, I have been there. Didn't know it was called the task view.
> Thanks!
> > I will review that again.
> >
> > Ben
> >
> > On Thu, Jul 1, 2010 at 7:21 AM, Ulrich Staudinger <ustaudinger@gmail.com
> >wrote:
> >
> >> http://www.google.ch/search?q=R+taskview
> >>
> >>
> >>
> >>
> >>   On Thu, Jul 1, 2010 at 3:03 PM, Ben Nachtrieb <
> ben.nachtrieb@gmail.com>wrote:
> >>
> >>>  Hello Patrick,
> >>>
> >>> No, what is the Finance taskview and how do I take a look at it?
> >>>
> >>> Thanks,
> >>>
> >>> Ben
> >>>
> >>>
> >>> Date: Wed, 30 Jun 2010 16:58:58 +0100
> >>> From: Patrick Burns <patrick@burns-stat.com>
> >>> To: r-sig-finance@stat.math.ethz.ch
> >>> Subject: Re: [R-SIG-Finance] R-Finance Tutorial
> >>> Message-ID: <4C2B69C2.9080807@burns-stat.com>
> >>> Content-Type: text/plain; charset=ISO-8859-1; format=flowed
> >>>
> >>> Can we presume that you've looked at the
> >>> Finance taskview?
> >>>
> >>> On 30/06/2010 15:56, Ben Nachtrieb wrote:
> >>> > Hello,
> >>> >
> >>> > Does anyone have any good R-Finance tutorials?
> >>> >
> >>> > I can perform basic operations in R and I have a Master's degree in
> >>> > finance/investments; however, I would like to ties these together
> with
> >>> an
> >>> > R-Finance tutorial. In other words, I need better understanding of
> the
> >>> > best packages and built-in functions available to me and how to use
> >>> them.
> >>> I
> >>> > don't want to reinvent the wheel so-to-speak.
> >>> >
> >>> > Basically I do quant analysis on forex, futures, and equities. So it
> is
> >>> the
> >>> > usual time series, trade execution, portfolio, security ranking, back
> >>> > testing, optimization, etc. related functions and packages I am
> >>> interested
> >>> > in. I will be using these programatically, so a good "front-end" or
> UI
> >>> is
> >>> > not necessary (and would not be used).
> >>> >
> >>> > Does anyone have any good R-Finance tutorials?
> >>> >
> >>> > What I do not need is a Tutorial on R or Finance separately.
> >>> >
> >>> > I already have "Time Series Analysis - With Applications in R end
> >>> Edition",
> >>> > but that is it...at this point.
> >>> >
> >>> > Thanks!
> >>> >
> >>>
> >>> --
> >>> Patrick Burns
> >>> patrick@burns-stat.com
> >>> http://www.burns-stat.com
> >>>    --
> >>> Ben Nachtrieb
> >>> M.S.F. Investments, University of Denver
> >>> Beta Gamma Sigma member
> >>>
> >>>        [[alternative HTML version deleted]]
> >>>
> >>> _______________________________________________
> >>> R-SIG-Finance@stat.math.ethz.ch mailing list
> >>> https://stat.ethz.ch/mailman/listinfo/r-sig-finance
> >>> -- Subscriber-posting only. If you want to post, subscribe first.
> >>> -- Also note that this is not the r-help list where general R questions
> >>> should go.
> >>>
> >>
> >>
> >>
> >> --
> >> Ulrich Staudinger
> >> Klosterstr. 7
> >> CH-6003 Luzern
> >> Switzerland
> >> ++41-79-7020595
> >>
> >
> >
> >
> > --
> > Ben Nachtrieb
> > M.S.F. Investments, University of Denver
> > Beta Gamma Sigma member
> >
> >        [[alternative HTML version deleted]]
> >
> > _______________________________________________
> > R-SIG-Finance@stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-sig-finance
> > -- Subscriber-posting only. If you want to post, subscribe first.
> > -- Also note that this is not the r-help list where general R questions
> should go.
> >
>
>
>
> --
> Jeffrey Ryan
> jeffrey.ryan@insightalgo.com
>
> ia: insight algorithmics
> www.insightalgo.com
>



-- 
Ben Nachtrieb
M.S.F. Investments, University of Denver
Beta Gamma Sigma member

	[[alternative HTML version deleted]]

