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Hi all, As a part of work flow, I do a lot of experiments and save all my results into rData file... i.e. at the end of all my experiments, I do "save.image("experiment_name_with_series_number.rData")"... However, some times even with the rData files, I cannot remember the context where these data files were generated. Of course, I can make the R data file names and the R

Hello, I have noticed that the memory usage inside an R session increases as more and more objects with unique names are created, even after they are removed. Here is a small reproducible example: > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 531720 14.2 899071 24.1 818163 21.9 Vcells 247949 1.9 786432 6.0 641735 4.9 > > for (i in 1:100000) { + name <-

Hello, This is about the new "line profiling" feature in R 3.0.0. As I was testing it, I find the results somewhat disappointing so I'd like to get your opinion. I put some poorly written code in a test.R file, here are the contents: double <- function(x) { out <- c() for (i in x) { out <- c(out, 2*i) # line 4 } return(out) } Then this how I source the file