R help - Dec 2003 - Resampling Stats software

Hi,
 
I am new to R (I have most of my experience in SAS and SPSS).  I was
wondering if anyone has used both Resampling Stats and R, and could comment
on strengths/relationships.  Also, I have no clue on how to do the various
examples from the book "Resampling: The New Statistics" in R.  Can
anyone
give me some possible starting points?  Or websites/books?

Thanks,
Brandon

Brandon Vaughn wrote:
...
> I am new to R (I have most of my experience in SAS and SPSS).  I was
> wondering if anyone has used both Resampling Stats and R, and could comment
> on strengths/relationships.  
There are a few add-on packages for resampling with R.  "boot" is the 
one I've used, and can strongly recommend.
> Also, I have no clue on how to do the various
> examples from the book "Resampling: The New Statistics" in R. 
Can anyone
> give me some possible starting points?  Or websites/books?
I've never heard of the book you cite, but these two are good.  The 
first is a pure bootstrap book, with examples in S-PLUS (the R library 
is rather close).  The second is an applied stats book, which includes a 
section on resampling methods.  All its examples are in S-PLUS, with 
notes about where R differs (very little).

@Book{DavidsonHinkley1997,
author =	 {A. C. Davidson and D. V. Hinkley},
   title =	 {Bootstrap Methods and their Application},
   publisher =	 {Cambridge University Press},
   year =	 {1997},
}

@book{VenablesRipley2002,
   author =	 "Venables, W.R. and Ripley, B.D.",
   title =	 "Modern Applied Statistics with S",
   edition =	 "Fourth",
   publisher =	 {Springer-Verlag},
   address =	 {New York},
   year =	 2002,
}

Cheers

Jason
-- 
Indigo Industrial Controls Ltd.
http://www.indigoindustrial.co.nz
64-21-343-545
jasont at indigoindustrial.co.nz

Brandon Vaughn wrote:
> Hi,
>  
> I am new to R (I have most of my experience in SAS and SPSS).  I was
> wondering if anyone has used both Resampling Stats and R, and could comment
> on strengths/relationships.
Hmmm. 8 years ago I had to use Resampling Stats. I don't know what 
Resampling Stats is today, but recollecting my 8 year old experiences 
with todays R (which obviously is unfair!): Use R! Yyou can easily do 
everything in R what Resampling Stats was capable of.

See also Jason Turner's message.

Uwe Ligges


 > Also, I have no clue on how to do the various
> examples from the book "Resampling: The New Statistics" in R. 
Can anyone
> give me some possible starting points?  Or websites/books?
> 
> Thanks,
> Brandon
> 
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://www.stat.math.ethz.ch/mailman/listinfo/r-help

A very good introductory text is "Data Analysis by Resampling: Concepts 
and Applications" by Clifford Lunneborg.

My search on Amazon fails to locate the book Brandon mentions, 
"Resampling: The New Statistics". Is there more information on Author,
ISBN, etc.?

You may wish to look at appendix 8, "Bootstrapping Regression Models,"
to John Fox's "An R and S-Plus Companion to Applied Regression." 
It can
be found at 
http://socserv.socsci.mcmaster.ca/jfox/Books/Companion/scripts.html

ANDREW

Brandon Vaughn wrote:
>Hi,
> 
>I am new to R (I have most of my experience in SAS and SPSS).  I was
>wondering if anyone has used both Resampling Stats and R, and could comment
>on strengths/relationships.  Also, I have no clue on how to do the various
>examples from the book "Resampling: The New Statistics" in R.  Can
anyone
>give me some possible starting points?  Or websites/books?
>
>Thanks,
>Brandon
>
>______________________________________________
>R-help at stat.math.ethz.ch mailing list
>https://www.stat.math.ethz.ch/mailman/listinfo/r-help
>
>
>
>  
>

--- Andrew Criswell <arc at arcriswell.com> wrote:
...
> My search on Amazon fails to locate the book Brandon
> mentions, 
> "Resampling: The New Statistics". Is there more
> information on Author, 
> ISBN, etc.?
FYI, try 

http://www.resample.com/content/text/index.shtml

or 

the main site at 

http://www.resample.com

Regards,
Michael Grant

> From: Prof Brian Ripley
[snip]
> As a matter of terminology, this is not resampling as usually 
> defined, so 
> I do wonder exactly what it is you are after.  For resampling 
> in the usual 
> sense, I would echo Jason's recommendation of Davison and 
> Hinkley's CUP book.
Or perhaps at a gentler level, Efron & Tibshirani's "Introduction
to the
Bootstrap" (Chapman & Hall/CRC)...
 
> -- 
> Brian D. Ripley,                  ripley at stats.ox.ac.uk
> Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
> University of Oxford,             Tel:  +44 1865 272861 (self)
> 1 South Parks Road,                     +44 1865 272866 (PA)
> Oxford OX1 3TG, UK                Fax:  +44 1865 272595

Andy


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Brian,

Thanks so much for your comments.  Like I said, I am pretty much a novice at
this idea.  My statistics degree emphasized a lot of theoretical knowledge, and
the idea of simulation and resampling was never taught.  So, now that I am more
in an applied field, I realize the need to educate myself.  I was taught SAS,
and my current field stresses SPSS.  But a good friend recommended I check out
R, so I'm trying to get into that now.

A few questions for you though.
> An introduction to what?  (It seems to confuse resampling and
> simulation-based inference.)
> 
Since I am new at this, could your clarify this just a bit?  Do you think this
is a poor book?  Is resampling more to do with sampling from actual sample data?
(I could see how a lot of examples in this book are more based on simulation,
and then called "resampling.")

It seems of interest the emphasis that statistics should be taught from this
perspective (of simulating everything).  I'm not sure I agree with it
totally though, because it always seems like you will get approximations all the
time, where as probability formulas (if correctly specified and applied) will
give you more exact measures.  It seems to possibly "dumb down" the
understanding of statistics.  But then again, simulation/resampling does have
the potential of answering questions for which there are no mathematical models.

What is your take on this?  Is a balance better?  I've used simulation
before in teaching, but always to demonstrate theoretical knowledge (like the
Central Limit Theorem).  This is the first I have seen of an emphasis on
simulation as the goal of teaching.
> As a matter of terminology, this is not resampling as usually defined, so 
> I do wonder exactly what it is you are after.  For resampling in the usual 
> sense, I would echo Jason's recommendation of Davison and Hinkley's
CUP
> book.
What I'm after?  I wish I really knew!  :)

Let me see ... basically, I'm trying to understand the practical side of
resampling.  I'm trying to get a basic balance of how all these differ ...
such as simulation vs. resampling vs. bootstrap vs. Monte Carlo methods vs.
Markov Chain Monte Carlo ... etc.  I'm trying to get a very practical
knowledge before digging into the theory, but understand they probably will both
come at the same time.

I want to be able to do statistical research using simulation.  There really
aren't any specific goals in mind.  I'm just a learner.  I would like to
do some research on robustness of certain educational measurement scales, and
I'm sure this would involve simulation.

Does that make any sense?  Thanks for your help and suggestions.  I will check
out that book for sure.

Brandon Vaughn
Chipola College