Hello, I'm trying to do some bootstrapping in a parallel environment (Linux cluster) in order to estimate confidence intervals for a certain parameter. Following the example in the documentation of the "snow" package (http://www.stat.uiowa.edu/~luke/R/cluster/cluster.html), I launch my computations by something like
> cl.nuke.boot <- + clusterCall(cl,boot,nuke.data, nuke.fun, R=500, m=1, + fit.pred=new.fit, x.pred=new.data) which gives me a list of n boot objects (where n is the number of nodes in my cluster). So far, so good. However, if I now want to go further, I need to combine all these boot objects to a single one which I can pass to boot.ci for example. Is there a recommended way to do this? Thanks, Michael ______________________________________________ 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
