# Examples of profiling R code

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by Yanchang Zhao, RDataMining.com

Below are simple examples of profiling R code, which help to find out which steps or functions are most time consuming. It is very useful for improving efficiency of R code.

# profiling of running time

Rprof(“myFunction.out”)

y <- myFunction(x) # this is the function to profile

Rprof(NULL)

summaryRprof(“myFunction.out”)

The example below profiles memory as well. Memory allocation can also be profiled with function Rprofmem().

# profiling of both time and memory

Rprof(“myFunction.out”, memory.profiling=T)

y <- myFunction(x)

Rprof(NULL)

summaryRprof(“myFunction.out”, memory=”both”)

A detailed example of profiling R code can be found at http://www.stat.berkeley.edu/~nolan/stat133/Fall05/lectures/profilingEx.html.

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