Dear All, I have an issue on memory use in R programming.
Here is the brief story: I want to simulate the power of a nonparameteric test and compare it with the existing tests. The basic steps are 1. I need to use Newton method to obtain the nonparametric MLE that involves the inversion of a large matrix (n-by-n matrix, it takes about less than 3 seconds in average to get the MLE. n = sample size) 2. Since the test statistic has an unknown sample distribution, the p-value is simmulated using Monte Carlo (1000 runs). it takes about 3-4 minutes to get an p-value. 3. I need to simulate 1000 random samples and reapte steps 1 and 2 to get the p-value for each of the simulated samples to get the power of the test. Here is the question: It initially completes 5-6 simulations per hour, after that, the time needed to complete a single simulation increases exponentially. After a 24 hour running, I only get about 15-20 simulations completed. My computer is a PC (Pentium Dual Core CPU 2.5 GHz, RAM 6.00GB, 64-bit). Appearently, the memory is the problem. I also tried various memory re-allocation procedures, They didn't work. Can anyboy help on this? Thanks in advance. -- View this message in context: http://r.789695.n4.nabble.com/Memory-Issue-tp2335860p2335860.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list 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.
