I'm looking for a good form in which to store matrix results of a simulation.
I am doing a simulation study. Each simulation generates some data and then analyzes it. I want to record the results of many simulations and analyze them. Say r has the results of one simulation, and I care about r$coefficients, a vector of coefficients, and r$var, the estimated covariance matrix. I'll do lots of simulations and then look at the results, computing the mean of each value. I'm looking for a good way to save and then analyze the results. The coefficients seem to fit well into a data frame, but I'm looking for a good way to handle the matrix. The only structure I've discovered that can even handle a set of matrices is a list. It also occurs to me the results could go to a 3 dimensional array; I suppose it would be good to make the last index vary with the simulation. Neither of these approaches seems ideal, because I would need to handle the matrix separately from the other data I want to store. I'm hoping to do something like simresults <- rbind(simresults, r$coeff, r$var). The result also needs to be amenable to calculations. If m1 and m2 are matrices (same dimension for each) mean(list(m1, m2)) doesn't work, so even though list will record the data it isn't a great form for analysis. (But I suppose some apply variant would work with 3d arrays). Any suggestions for good ways to approach this? Again, the ideal solution would have * consistent handling of matrices and other data * easy computation of (e.g.) means for the results. Thanks. P.S. I'm also aware I could accumulate means as I go, but I'm looking for a more general solution. ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
