[R] Ordination of feature film data question

[Frank Thomas]

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]]
>>
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>>     
>
>   


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