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....time total.pct self.time self.pct "gc" 0.12 100 0.12 100 "system.time" 0.12 100 0.00 0 > I assume that what's going on here, is that anytime R blocks waiting for data from a child process, the profiler stops running entirley, and it then loses track of all that time spend blocking. This Rprof behavior is frustrating, because I use a database access layer which essentially works by having R call system() to run a shell script. So, if I write a really slow query that takes 10 minutes to run, as for as Rprof is concerne...

What R functionnalities are there to do missing values imputation (substantial proportion of missing data)? I would prefer to use maximum likelihood methods ; is the EM algorithm implemented? in which package? Thanks Anne ---------------------------------------------------- Anne Piotet Tel: +41 79 359 83 32 (mobile) Email: anne.piotet@m-td.com