I am dealing with very large data frames, artificially created with the following code, that are combined using rbind.
a <- rnorm(5000000) b <- rnorm(5000000) c <- rnorm(5000000) d <- rnorm(5000000) first <- data.frame(one=a, two=b, three=c, four=d) second <- data.frame(one=d, two=c, three=b, four=a) rbind(first, second) which results in the following error for each of the statements: > a <- rnorm(5000000) Error: cannot allocate vector of size 38.1 Mb > b <- rnorm(5000000) Error: cannot allocate vector of size 38.1 Mb > c <- rnorm(5000000) Error: cannot allocate vector of size 38.1 Mb > d <- rnorm(5000000) Error: cannot allocate vector of size 38.1 Mb > first <- data.frame(one=a, two=b, three=c, four=d) Error: cannot allocate vector of size 38.1 Mb > second <- data.frame(one=d, two=c, three=b, four=a) Error: cannot allocate vector of size 38.1 Mb > rbind(first, second) When running memory.limit() I am getting this: memory.limit() [1] 2047 Which shows me that I have 2 GB of memory available. What is wrong? Shouldn't 38 MB be very feasible? Best, Ralf ______________________________________________ [email protected] 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.
