R tic toc measuring elapsed time to execute anything in r rstudio tidyverse rpackage

A great question!

In RStudio, you can use the tic() and toc() functions from the rbenchmark package to measure the elapsed time it takes to execute a piece of code. Here's an example:

First, install and load the rbenchmark package:

install.packages("rbenchmark")
library(rbenchmark)

Use tic() to start the timer before executing the code you want to measure:
```
tic()
# Your code here
toc()
```
The tic() function starts a timer, and the toc() function stops the timer and prints the elapsed time.

Here's an example:

tic()
mtcars %>% 
  group_by(cyl) %>% 
  summarise(mean_mpg = mean(mpg)) %>% 
  arrange(desc(mean_mpg))
toc()

This code uses the mtcars dataset from the datasets package and applies a group-by and summarise operation using the dplyr package. The tic() function starts the timer before executing the code, and the toc() function stops the timer and prints the elapsed time.

You can also use the benchmark() function from the rbenchmark package to measure the elapsed time for multiple iterations of the same code:

benchmark(
  expr = {
    mtcars %>% 
      group_by(cyl) %>% 
      summarise(mean_mpg = mean(mpg)) %>% 
      arrange(desc(mean_mpg))
  },
  replications = 10
)

This code runs the same code 10 times and measures the average elapsed time.

Note that the rbenchmark package is not part of the Tidyverse, but it's a popular package for benchmarking R code.

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R tic toc measuring elapsed time to execute anything in r rstudio tidyverse rpackage