Re: [R] Making a markov transition matrix

From: Gabor Grothendieck <ggrothendieck_at_gmail.com>
Date: Sun 22 Jan 2006 - 14:38:34 EST

See:

http://finzi.psych.upenn.edu/R/Rhelp02a/archive/42934.html

On 1/21/06, Ajay Narottam Shah <ajayshah@mayin.org> wrote:
> Folks,
>
> I am holding a dataset where firms are observed for a fixed (and
> small) set of years. The data is in "long" format - one record for one
> firm for one point in time. A state variable is observed (a factor).
>
> I wish to make a markov transition matrix about the time-series
> evolution of that state variable. The code below does this. But it's
> hardcoded to the specific years that I observe. How might one
> generalise this and make a general function which does this? :-)
>
> -ans.
>
>
>
> set.seed(1001)
>
> # Raw data in long format --
> raw <- data.frame(name=c("f1","f1","f1","f1","f2","f2","f2","f2"),
> year=c(83, 84, 85, 86, 83, 84, 85, 86),
> state=sample(1:3, 8, replace=TRUE)
> )
> # Shift to wide format --
> fixedup <- reshape(raw, timevar="year", idvar="name", v.names="state",
> direction="wide")
> # Now tediously build up records for an intermediate data structure
> try <- rbind(
> data.frame(prev=fixedup$state.83, new=fixedup$state.84),
> data.frame(prev=fixedup$state.84, new=fixedup$state.85),
> data.frame(prev=fixedup$state.85, new=fixedup$state.86)
> )
> # This is a bad method because it is hardcoded to the specific values
> # of "year".
> markov <- table(destination$prev.state, destination$new.state)
>
> --
> Ajay Shah http://www.mayin.org/ajayshah
> ajayshah_at_mayin.org http://ajayshahblog.blogspot.com
> <*(:-? - wizard who doesn't know the answer.
>
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>



R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Sun Jan 22 14:49:39 2006

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