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I have a function that needs to be repeated many times with for loop. I have take measure to rm all the big arrays that was used in the function. The only array that cannot be rm was the return arrays. The loop needed to be repeat for over 2000 times and I am using v1.6.0 in Windows 2000 When I look at the task manager, I see that the memory used by R keep going up and reach more than 1G byte

Hi, I am in trying to get a new Linux Cluster. I am thinking about putting R on it. Does anyone have any experience with running R on a distributed Linux Cluster? Or does R support a cluster environment at all. Any pitfall I should really watch out for? Thanks in advance Apollo

Hi, do any one have experience with loading dataset that is larger than 2GB into R. My organization is a SAS oriented shop and I'm in the process of switching it to R. One of the complain about R has always been it's inability to handle large dataset (>GB) efficiently. I would like some comments from someone with experience of working on >2GB dataset in R. Thanks. Apollo