Re: [R] generating markov chain

From: Ingmar Visser <I.Visser_at_uva.nl>
Date: Mon 06 Feb 2006 - 20:52:35 EST


You can use the following, with x your transition matrix y=numeric(100)
x=matrix(runif(16),4,4)
for(i in 2:100) {
y[i]=which(rmultinom(1, size = 1, prob = x[y[i-1], ])==1) }
hth, ingmar

-----Original Message-----
From: r-help-bounces@stat.math.ethz.ch
[mailto:r-help-bounces@stat.math.ethz.ch]On Behalf Of Norman Goodacre Sent: maandag 6 februari 2006 5:26
To: r-help@stat.math.ethz.ch
Subject: [R] generating markov chain

Dear help group,   

    Just fyi a markov chain is a sequence of transitions between states (say A,T,G,C - on a gene) with a given probability for each transition. In this case there'd be 16 different kinds, each with a different weight.     Given a transition matrix (4x4) filled with all transition probabilities of course, how can I generate a random sequence of a given length, say 200?   

   -Norman Goodacre                    


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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Mon Feb 06 21:18:29 2006

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