I am using system.time(expression)
to measure execution time for an R function.
The output I get for the call
system.time(myfunction())
is:
user system elapsed 117.36 5.65 127.86
What does 'user' and 'system' measure?
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.
The system. time() function is one of the tools that we can use to estimate how long it takes for a code to execute. Its output gives three values: user, system, and elapsed time in seconds.
To measure execution time of R code, we can use Sys. time function. Put it before and after the code and take difference of it to get the execution time of code.
proc. time , time which is for time series. Sys. time to get the current date & time.
This is discussed in ?proc.time
(system.time()
returns an object of class "proc.time"
):
Details: ‘proc.time’ returns five elements for backwards compatibility, but its ‘print’ method prints a named vector of length 3. The first two entries are the total user and system CPU times of the current R process and any child processes on which it has waited, and the third entry is the ‘real’ elapsed time since the process was started.
....and
Value: .... The definition of ‘user’ and ‘system’ times is from your OS. Typically it is something like _The ‘user time’ is the CPU time charged for the execution of user instructions of the calling process. The ‘system time’ is the CPU time charged for execution by the system on behalf of the calling process._
The clearest explanation I've ever read on the difference between user
and system
elapsed time was provided by William Dunlap on [R-help]:
"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. 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.
Although ?proc.time
returns something similar, this description was a lot easier to understand for me.
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