Additionally the returned results are conveniently organized in a data frame. For example it requires just one benchmark call to time multiple replications of multiple expressions. However it adds a lot of convenience compared to bare system.time calls. The documentation to the function benchmark from the rbenchmark R package describes it as “a simple wrapper around system.time”. Different operating systems will have different things done by the operating system. The operating system is used for things like opening files, doing input or output, starting other processes, and looking at the system clock: operations that involve resources that many processes must share. “User CPU time” gives the CPU time spent by the current process (i.e., the current R session) and “system CPU time” gives the CPU time spent by the kernel (the operating system) on behalf of the current process. ![]() Well, clearly elapsed is the wall clock time taken to execute the function sleep_for_a_minute, plus some benchmarking code wrapping it (that’s why it took slightly more than a minute to run I guess).Īs for user and system times, William Dunlap has posted a great explanation to the r-help mailing list: But what exactly are the reported times user, system, and elapsed? :confused:
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