This looks like this is your homework about Markov chains. not an R question actually. But have a look at the markovchain package from CRAN: http://cran.r-project.org/web/packages/markovchain/vignettes/an_introduction_to_markovchain_package.pdf
On 13 May 2014 16:49, Baba Bukar <bbu...@nda.edu.ng> wrote: > Dear all, > > I am new to R and have some problem computing transition probabilities. My > problem goes like this; > > data_set <- > c(2,0,45,6,78,3,0,2,6,0,5,8,0,2,8,9,12,212,22,4,1,0,3,5,88,5,69,12,4,0,0,0,0,4,87,6,99,104,22,7) > > observations greater than, say 3, is considered as useful (denoted as 1) > while less than 3 are not useful (denoted as 1). Am trying to calculate the > transition in these count data such as P_1,1=prob from useful to useful, > P_1,0=prob from useful to not useful, P_0,1=prob from not useful to useful > and P_0,0=prob from not useful to not useful. > > Thank you much as you respond soonest > > Kind regards > Zakir > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.