Ordination of feature film data question

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Ordination of feature film data question

David Woods
I am severely rusty re. multivariate / ordination analysis, having done my last work 40 years ago (in plant ecology).
I am interested in exploring applications of multivariate analytic approaches to data from the history of motion picture films.
I'd very much appreciate any pointers as to possibly appropriate proceedures.
The individual "samples" may be individual films and the measurements may be the presence and absence of actors and production personel; for example two films with many actors and / or crew in common would be located close together in the resultant ordination, while films with few or no personel in common would be located far apart.
May I express my appreciation in advance to any helpful recipients.
cordially
David Woods

Dr. David Woods M.B.K.S.
Holcus Ltd.
16 John Street
Kingston Square
Hull  HU2 8DH
East Yorkshire
UK

tel.  44 (0)1482 323421
cel  (0781) 259 1772
        [[alternative HTML version deleted]]

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Re: Ordination of feature film data question

Prof Brian Ripley
`Ordination' is ecologists' terminology for multidimensional scaling.
You will find worked examples in MASS (the book, see the R FAQ), and the
two most commonly used functions, isoMDS and sammon, in MASS the package.

In your example, the main issue is going to be to choose an appropriate
dissimilarity measure, and dist() (in stats) and daisy() in package
cluster will give you a good start.

On Sat, 11 Mar 2006, David Woods wrote:

> I am severely rusty re. multivariate / ordination analysis, having done
> my last work 40 years ago (in plant ecology). I am interested in
> exploring applications of multivariate analytic approaches to data from
> the history of motion picture films. I'd very much appreciate any
> pointers as to possibly appropriate proceedures. The individual
> "samples" may be individual films and the measurements may be the
> presence and absence of actors and production personel; for example two
> films with many actors and / or crew in common would be located close
> together in the resultant ordination, while films with few or no
> personel in common would be located far apart.

> May I express my appreciation in advance to any helpful recipients.
> cordially
> David Woods
>
> Dr. David Woods M.B.K.S.
> Holcus Ltd.
> 16 John Street
> Kingston Square
> Hull  HU2 8DH
> East Yorkshire
> UK
>
> tel.  44 (0)1482 323421
> cel  (0781) 259 1772
> [[alternative HTML version deleted]]
>
> ______________________________________________
> [hidden email] mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
>

--
Brian D. Ripley,                  [hidden email]
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

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FTR
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Re: Ordination of feature film data question

FTR
Sorry that I send this text for a second time - I didn't see my posting
before (though I have set the preferences to see them)

If you want a comparison of different distance measures you might try
the manuscript of Johann Bacher who is a specialists in cluster methods.
He published an in-depth text on his web site
http://www.soziologie.wiso.uni-erlangen.de/koeln/

Regards,
F. Thomas
Prof Brian Ripley wrote:

> `Ordination' is ecologists' terminology for multidimensional scaling.
> You will find worked examples in MASS (the book, see the R FAQ), and the
> two most commonly used functions, isoMDS and sammon, in MASS the package.
>
> In your example, the main issue is going to be to choose an appropriate
> dissimilarity measure, and dist() (in stats) and daisy() in package
> cluster will give you a good start.
>
> On Sat, 11 Mar 2006, David Woods wrote:
>
>  
>> I am severely rusty re. multivariate / ordination analysis, having done
>> my last work 40 years ago (in plant ecology). I am interested in
>> exploring applications of multivariate analytic approaches to data from
>> the history of motion picture films. I'd very much appreciate any
>> pointers as to possibly appropriate proceedures. The individual
>> "samples" may be individual films and the measurements may be the
>> presence and absence of actors and production personel; for example two
>> films with many actors and / or crew in common would be located close
>> together in the resultant ordination, while films with few or no
>> personel in common would be located far apart.
>>    
>
>  
>> May I express my appreciation in advance to any helpful recipients.
>> cordially
>> David Woods
>>
>> Dr. David Woods M.B.K.S.
>> Holcus Ltd.
>> 16 John Street
>> Kingston Square
>> Hull  HU2 8DH
>> East Yorkshire
>> UK
>>
>> tel.  44 (0)1482 323421
>> cel  (0781) 259 1772
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> [hidden email] mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
>>
>>    
>
>  


--
..........................................
Dr. Frank Thomas
FTR Internet Research
93110 Rosny-sous-Bois
France



--

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Re: Ordination of feature film data question

droberts
In addition to the references from Professor Ripley, you might be
interested in the R packages and pages maintained by ecologists for such
work (even if you're doing movies).  Packages labdsv, vegan, and ade4
both have a broad variety of distance/dissimilarity indices and numerous
alternative ordination programs.  You might also be interested in an
ecologically oriented web page at:

http://ecology.msu.montana.edu/labdsv/R

Dave R.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
David W. Roberts                                     office 406-994-4548
Professor and Head                                      FAX 406-994-3190
Department of Ecology                         email [hidden email]
Montana State University
Bozeman, MT 59717-3460

Frank Thomas wrote:

> Sorry that I send this text for a second time - I didn't see my posting
> before (though I have set the preferences to see them)
>
> If you want a comparison of different distance measures you might try
> the manuscript of Johann Bacher who is a specialists in cluster methods.
> He published an in-depth text on his web site
> http://www.soziologie.wiso.uni-erlangen.de/koeln/
>
> Regards,
> F. Thomas
> Prof Brian Ripley wrote:
>
>>`Ordination' is ecologists' terminology for multidimensional scaling.
>>You will find worked examples in MASS (the book, see the R FAQ), and the
>>two most commonly used functions, isoMDS and sammon, in MASS the package.
>>
>>In your example, the main issue is going to be to choose an appropriate
>>dissimilarity measure, and dist() (in stats) and daisy() in package
>>cluster will give you a good start.
>>
>>On Sat, 11 Mar 2006, David Woods wrote:
>>
>>  
>>
>>>I am severely rusty re. multivariate / ordination analysis, having done
>>>my last work 40 years ago (in plant ecology). I am interested in
>>>exploring applications of multivariate analytic approaches to data from
>>>the history of motion picture films. I'd very much appreciate any
>>>pointers as to possibly appropriate proceedures. The individual
>>>"samples" may be individual films and the measurements may be the
>>>presence and absence of actors and production personel; for example two
>>>films with many actors and / or crew in common would be located close
>>>together in the resultant ordination, while films with few or no
>>>personel in common would be located far apart.
>>>    
>>
>>  
>>
>>>May I express my appreciation in advance to any helpful recipients.
>>>cordially
>>>David Woods
>>>
>>>Dr. David Woods M.B.K.S.
>>>Holcus Ltd.
>>>16 John Street
>>>Kingston Square
>>>Hull  HU2 8DH
>>>East Yorkshire
>>>UK
>>>
>>>tel.  44 (0)1482 323421
>>>cel  (0781) 259 1772
>>> [[alternative HTML version deleted]]
>>>
>>>______________________________________________
>>>[hidden email] mailing list
>>>https://stat.ethz.ch/mailman/listinfo/r-help
>>>PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
>>>
>>>    
>>
>>  
>
>
>

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Re: Ordination of feature film data question

Gabor Grothendieck
Note that there is a Task View for ecology at:

http://cran.miscellaneousmirror.org/src/contrib/Views/Environmetrics.html

On 3/13/06, Dave Roberts <[hidden email]> wrote:

> In addition to the references from Professor Ripley, you might be
> interested in the R packages and pages maintained by ecologists for such
> work (even if you're doing movies).  Packages labdsv, vegan, and ade4
> both have a broad variety of distance/dissimilarity indices and numerous
> alternative ordination programs.  You might also be interested in an
> ecologically oriented web page at:
>
> http://ecology.msu.montana.edu/labdsv/R
>
> Dave R.
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> David W. Roberts                                     office 406-994-4548
> Professor and Head                                      FAX 406-994-3190
> Department of Ecology                         email [hidden email]
> Montana State University
> Bozeman, MT 59717-3460
>
> Frank Thomas wrote:
> > Sorry that I send this text for a second time - I didn't see my posting
> > before (though I have set the preferences to see them)
> >
> > If you want a comparison of different distance measures you might try
> > the manuscript of Johann Bacher who is a specialists in cluster methods.
> > He published an in-depth text on his web site
> > http://www.soziologie.wiso.uni-erlangen.de/koeln/
> >
> > Regards,
> > F. Thomas
> > Prof Brian Ripley wrote:
> >
> >>`Ordination' is ecologists' terminology for multidimensional scaling.
> >>You will find worked examples in MASS (the book, see the R FAQ), and the
> >>two most commonly used functions, isoMDS and sammon, in MASS the package.
> >>
> >>In your example, the main issue is going to be to choose an appropriate
> >>dissimilarity measure, and dist() (in stats) and daisy() in package
> >>cluster will give you a good start.
> >>
> >>On Sat, 11 Mar 2006, David Woods wrote:
> >>
> >>
> >>
> >>>I am severely rusty re. multivariate / ordination analysis, having done
> >>>my last work 40 years ago (in plant ecology). I am interested in
> >>>exploring applications of multivariate analytic approaches to data from
> >>>the history of motion picture films. I'd very much appreciate any
> >>>pointers as to possibly appropriate proceedures. The individual
> >>>"samples" may be individual films and the measurements may be the
> >>>presence and absence of actors and production personel; for example two
> >>>films with many actors and / or crew in common would be located close
> >>>together in the resultant ordination, while films with few or no
> >>>personel in common would be located far apart.
> >>>
> >>
> >>
> >>
> >>>May I express my appreciation in advance to any helpful recipients.
> >>>cordially
> >>>David Woods
> >>>
> >>>Dr. David Woods M.B.K.S.
> >>>Holcus Ltd.
> >>>16 John Street
> >>>Kingston Square
> >>>Hull  HU2 8DH
> >>>East Yorkshire
> >>>UK
> >>>
> >>>tel.  44 (0)1482 323421
> >>>cel  (0781) 259 1772
> >>>     [[alternative HTML version deleted]]
> >>>
> >>>______________________________________________
> >>>[hidden email] mailing list
> >>>https://stat.ethz.ch/mailman/listinfo/r-help
> >>>PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
> >>>
> >>>
> >>
> >>
> >
> >
> >
>
> ______________________________________________
> [hidden email] mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
>

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Re: Ordination of feature film data question

Jari Oksanen-2
In reply to this post by Prof Brian Ripley
On Mon, 2006-03-13 at 07:50 +0000, Prof Brian Ripley wrote:
> `Ordination' is ecologists' terminology for multidimensional scaling.
> You will find worked examples in MASS (the book, see the R FAQ), and the
> two most commonly used functions, isoMDS and sammon, in MASS the package.
>
'Ordination' in ecologists' terminology also covers principal components
analysis and variants of correspondence analysis. Actually, when an
ecologist speaks about 'ordination', she most often means correspondence
analysis, which also sounds like a natural (though perhaps not the best)
choice for co-occurrence data in movies.

cheers, jari oksanen
--
Jari Oksanen <[hidden email]>

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