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Is there a standardized way in R of measuring execution time of function?
Obviously I can take system.time before and after execution and then take the difference of those, but I would like to know if there is some standardized way or function (would like to not invent the wheel).
I seem to remember that I have once used something like below:
somesysfunction("myfunction(with,arguments)") > Start time : 2001-01-01 00:00:00 # output of somesysfunction > "Result" "of" "myfunction" # output of myfunction > End time : 2001-01-01 00:00:10 # output of somesysfunction > Total Execution time : 10 seconds # output of somesysfunction 
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We have to first install and import the library called “tictoc“. Then we define our sample function that runs for some specific duration. Call the tic() function, then place any R expression or code or function(), then end it with toc() function call. It will print the execution time of the sleep_func().
There is a lot of overhead in the processing because R needs to check the type of a variable nearly every time it looks at it. This makes it easy to change types and reuse variable names, but slows down computation for very repetitive tasks, like performing an action in a loop.
Sys. time returns an absolute date-time value which can be converted to various time zones and may return different days. Sys. Date returns the current day in the current time zone.
Another possible way of doing this would be to use Sys.time():
start.time <- Sys.time() ...Relevent codes... end.time <- Sys.time() time.taken <- end.time - start.time time.taken Not the most elegant way to do it, compared to the answere above , but definitely a way to do it.
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