[R] Analyzing large transition matrix
jrkrideau at yahoo.ca
Wed Jun 23 18:28:08 CEST 2010
--- 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
> 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
> 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
> probabilities as if this were a Markov chain, but dim()
> comes out 108
> 78, which is still too big to print or visualize.
> Bill Harris
> Facilitated Systems
> Everett, WA 98208 USA
> phone: +1 425
> R-help at r-project.org
> mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained,
> reproducible code.
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