Re: [R] Ordination of feature film data question

2006-03-13 Thread 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

Re: [R] Ordination of feature film data question

2006-03-13 Thread 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 [EMAIL PROTECTED] wrote: In addition to the references from Professor Ripley, you might be interested in the R packages and pages maintained by

Re: [R] Ordination of feature film data question

2006-03-13 Thread Dave Roberts
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

Re: [R] Ordination of feature film data question

2006-03-13 Thread Jari Oksanen
On Mon, 2006-03-13 at 07:50 +, 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

[R] Ordination of feature film data question

2006-03-12 Thread 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

Re: [R] Ordination of feature film data question

2006-03-12 Thread 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