Dear List, I have a couple of (~200) 3x3 transition probability matrices (ie each defines a Markov chain). They are all estimated from the same underlying process, so it ie meaningful to take their elemetwise mean and standard deviation. [1]
First question: supposing that they are given in a list l, how do I get their elementwise mean and standard deviation? Fortunately, the mean of trans. prob. matrices also remains a transition probability matrix. I'm not sure if taking the standard deviation is meaningful, though. Any suggestions? Second (more important): what would be the best way of visualizing the 3x3 mean and standard deviation matrices? For the mean, I thought of a barplot where the layers add up to 1, but I have no experience with visualization of statistical data (at least, reading this list I learned that I should avoid circles, pie-charts and their ilk). Thanks, Tamas [1] You could ask why I don't just estimate the trans. prob. matrix just once from the whole dataset. The problem is that the process is meant to model (real) interest rates with only three levels, and involves many peculiar assumptions. By the way, many thanks to Kjetil Brinchmann Halvorsen, Rolf Turner, Ted Harding, Patrick Burns and Martin Maechler for giving detailed and helpful replies to my earlier question about Markov chains in R. -- Tamás K. Papp E-mail: [EMAIL PROTECTED] (preferred, especially for large messages) [EMAIL PROTECTED] Please try to send only (latin-2) plain text, not HTML or other garbage. ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help