timeR package allows you to create a timer object to easily time your codes. Meanwhile, all records are saved to a data frame, so it's easy to retrieve all the records for later use.
Timing codes is not difficult but can be very tedious. With timeR, you can save your energy on timing and put more effort on your analysis. You can use timeR to time training time for machine learning models, record speed for requests when running web-scraping scripts or other situations that you need to keep records of time.
install.packages("timeR")
# or install from github
devtools::install_github("yusuzech/timeR")
library(timeR)
# Create a timer object,precision default to s(second)
my_timer <- createTimer()
# start timing for an event
my_timer$start("event one")
#start timing for another event
my_timer$start("event two")
# stop timing for the events
my_timer$stop("event one")
my_timer$stop("event two", comment = "my comment") # comment is optional
# retrieve the table for all recordings
getTimer(my_timer)
# or create a timer object and setting verbose to false and use other precision
# s(second), ms(millisecond), us(microsecond)
my_timer2 <- createTimer(verbose = F,precision = "ms")
# toggle on/off verbose
my_timer$toggleVerbose()
# warnings will still be shown when verbose is turned off
my_timer$stop("event one")
# get attributes of a selected event
my_timer$getEvent("event one")
my_timer$getStartTime("event two")
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