How to calculate the time taken by each step in a for loop in R
This recipe helps you calculate the time taken by each step in a for loop in R
Recipe Objective
Time elapsed to execute a function is a crucial element in a data scientist's job specifically when you have to deal with large datasets. Since there are different approaches to do the same task, time required to these tasks plays an important role when we deal with large dataset. This recipe demonstrates us to calculate the time taken by each step in a for loop.
We will use Sys.time() function to carry out this task
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Example:
We will calculate the squares of numbers from 1 to 4 using for loop and calculate the time required by each step
for (i in 1:4){
# start time stamp
start = Sys.time()
print(i^2)
# end time stamp
end =Sys.time()
#Time required for each step
elapsed_time = end - start
print(elapsed_time)
}
[1] 1 Time difference of 0 secs [1] 4 Time difference of 0 secs [1] 9 Time difference of 0 secs [1] 16 Time difference of 0 secs
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