Dear R Forum, I have about 2000+ FX forward transactions and I am trying to run 1000 simulations. If I use less no of simulations, I am able to get the desired results. However, when I try to use more than 1000 simulations, I get following error.
> sorted2 <- ddply(sorted, .(currency_from_exch, id), mutate, change_in_mtm_bc > = mtm_bc - mtm_bc[1]) Error: cannot allocate vector of size 15.6 Mb In addition: Warning messages: 1: Reached total allocation of 3583Mb: see help(memory.size) 2: Reached total allocation of 3583Mb: see help(memory.size) 3: In output[[var]][rng] <- df[[var]] : Reached total allocation of 3583Mb: see help(memory.size) 4: In output[[var]][rng] <- df[[var]] : Reached total allocation of 3583Mb: see help(memory.size) 5: In output[[var]][rng] <- df[[var]] : Reached total allocation of 3583Mb: see help(memory.size) 6: In output[[var]][rng] <- df[[var]] : Reached total allocation of 3583Mb: see help(memory.size) 7: In output[[var]][rng] <- df[[var]] : Reached total allocation of 3583Mb: see help(memory.size) 8: In output[[var]][rng] <- df[[var]] : Reached total allocation of 3583Mb: see help(memory.size) When I checked - > memory.size() [1] 846.83 > memory.limit() [1] 3583 The code is bit lengthy and unfortunately can't be shared. Kindly guide how this memory probelm can be tackled? I am using R x64 3.2.0 Regards Amelia ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
