Thank you very much to those who contributed to this rather interesting
discussion/debate. I was very surprised (and almost overwhelmed) by the
volume of replies based on this topic!
I have prepared some slides and put the draft version on
www.stat.auckland.ac.nz/~kwan022/tmp/RFin.ppt. Feel
At Monday 07:58 PM 6/7/2004, Richard A. O'Keefe wrote:
[snip]
There are three perspectives on programming languages like the S/R family:
(1) The programming language perspective.
I am sorry to tell you that the only excuse for R is S.
R is *weird*. It combines error-prone C-like syntax
I wrote:
The scope rules (certainly the scope rules for S) were obviously
designed by someone who had a fanatical hatred of compilers and
wanted to ensure that the language could never be usefully
compiled.
Drat! I forgot the semi-smiley!
Tony Plate [EMAIL
Tamas Papp [EMAIL PROTECTED] wrote:
I would emphasize the following:
...
2. The programming language is really friendly and convenient to work
with. In finance, you often need to hack together special solutions
for problems that are not conventional
For general points, you can look at An Introduction to the S Language
in the tutorials section of the Burns Statistics website.
For your specific audience, it sounds like property is of special
consideration
so you could come up with an example of how R can easily
analyse spatial relationships
One other important point in selling R is that its use results in
analysts doing a better job. I find that many SAS users for example
routinely assume that all covariable effects are linear because it is
messy to do otherwise in SAS. S has a natural modeling language for
flexible nonlinear
Hi,
I've been doing a joint research with someone from the Property
Department here and she is about to give a presentation on the
results. The audience will include people from Property and Finance,
and she is wondering how to describe R to these people (as I used R to
do the analyses), since
the main advantage it has over SPSS-like software is that you do not
need to explicitly create dummy variables. You only need to specify
your dependent variable and independent variables and R will fit it
(and create dummy variables automatically) for you.
Does the audience know exactly what
Ko-Kang Kevin Wang wrote:
It is not only used by statisticians or scientists,
but also econometricians and people in finance due to its cost (FREE)
and its powerfulness.
I think 'power' is preferable here to 'powerfulness'! Never use a big
word when a diminutive one will do.
Although it has a
On 06/04/04 13:22, Barry Rowlingson wrote:
Although it has a slightly higher learning curve than SPSS-like
We're usually more concerned with the first derivative of the learning
curve than its intercept. Better to say R has a steeper initial learning
curve. Maybe plot one out in R?
According
]
Subject: [R] How to Describe R to Finance People
Hi,
I've been doing a joint research with someone from the Property
Department here and she is about to give a presentation on the
results. The audience will include people from Property and Finance,
and she is wondering how to describe R
Ko-Kang Kevin Wang wrote:
It is not only used by statisticians or scientists,
but also econometricians and people in finance due to its cost (FREE)
and its powerfulness.
I think (FREE) will distract your intended audience from the real
point. In a corporate environment, lots of people argue that
Kevin,
This is a nice start. I'll Cc this back to the recently formed 'R in
Finance' list we formed as a result of the two Finance sessions at use useR.
One small correction would be that the number of CRAN packages is now in
excess of 350 (not 150).
And a point you may want to add is that
On Fri, Jun 04, 2004 at 11:50:32PM +1200, Ko-Kang Kevin Wang wrote:
Although it has a slightly higher learning curve than SPSS-like
program, it gets easier to use once one is familiar with it. One of
the main advantage it has over SPSS-like software is that you do not
need to explicitly
On Fri, 2004-06-04 at 09:19, Paul Gilbert wrote:
Ko-Kang Kevin Wang wrote:
It is not only used by statisticians or scientists,
but also econometricians and people in finance due to its cost (FREE)
and its powerfulness.
I think (FREE) will distract your intended audience from the real
On Fri, Jun 04, 2004 at 11:06:59AM -0500, Marc Schwartz wrote:
I agree that quality and value are important, but I think that the issue
of cost should not be discounted out of hand. Value (for both company
and client) is directly tied to cost.
[...]
The bottom line is that cost is a
On Fri, 2004-06-04 at 12:47, Tamas Papp wrote:
On Fri, Jun 04, 2004 at 11:06:59AM -0500, Marc Schwartz wrote:
I agree that quality and value are important, but I think that the issue
of cost should not be discounted out of hand. Value (for both company
and client) is directly tied to
Marc Schwartz wrote:
On Fri, 2004-06-04 at 09:19, Paul Gilbert wrote:
Ko-Kang Kevin Wang wrote:
It is not only used by statisticians or scientists,
but also econometricians and people in finance due to its cost (FREE)
and its powerfulness.
I think (FREE) will distract your intended
On Fri, 2004-06-04 at 14:26, Paul Gilbert wrote:
Marc Schwartz wrote:
snip
I agree that quality and value are important, but I think that the issue
of cost should not be discounted out of hand. Value (for both company
and client) is directly tied to cost.
[snip ...]
Marc
I
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