[R] Analyzing large transition matrix

[John Kane]

?dotchart perhaps?

--- On Wed, 6/23/10, Bill Harris <bill_harris at facilitatedsystems.com> wrote:

> From: Bill Harris <bill_harris at facilitatedsystems.com>
> Subject: [R] Analyzing large transition matrix
> To: "r-help" <r-help at r-project.org>
> Received: Wednesday, June 23, 2010, 9:30 AM
> Let's say you have a dataframe of car
> trade-ins.  For example, each row
> contains 
> 
> oldcar   newcar   qty
> 
> and a typical entry could be
> 
> lexus   bmw    1
> 
> I put the qty column to allow for fleet purchases, where
> one purchase
> may convert multiple cars at once.
> 
> I'd like to show what's going on.  I could do a
> histogram of newcar to
> show the frequency each type of car is bought.  If
> there are 5-10 car
> types, that works.  If there are 50-100 or more, the
> legend gets
> illegible.
> 
> I could also do a histogram of oldcar to see what people
> gave up, but
> that's less interesting.
> 
> I'm considering a correlogram using the corrgram package,
> but a heat map
> might work, too.  Any tips on making the legends
> useful in any of this?
> Any better approaches to try?
> 
> I tried table() and prop.table() to see if I could get
> transition
> probabilities as if this were a Markov chain, but dim()
> comes out 108
> 78, which is still too big to print or visualize.
> 
> Suggestions?
> 
> Thanks,
> 
> Bill
> -- 
> Bill Harris             
>     http://makingsense.facilitatedsystems.com/
> Facilitated Systems         
>                
>     Everett, WA 98208 USA
> http://www.facilitatedsystems.com/     
>          phone: +1 425
> 374-1845
> 
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