In R, the %>% symbol is known as the pipe operator,
and it’s provided by the magrittr package. The pipe
operator is a powerful tool that simplifies and enhances the process of
chaining together multiple functions or operations. It makes the code
more readable and easier to follow by allowing you to pass the output of
one function as the input to another function in a sequential
manner.
Here’s how the pipe operator works and how it’s used:
Without pipe operator:
With pipe operator:
Here’s a breakdown of the components:
x: The initial input value or object.%>%: The pipe operator itself.g(), h(), i(), etc.:
Functions to be applied sequentially to the input value.Using the pipe operator can make your code more readable and concise. It encourages a more functional programming style where you’re chaining together transformations and operations on data without the need for intermediate variables.
Here’s an example using the dplyr package, which is
commonly used with the pipe operator for data manipulation:
library(dplyr)
# Without pipe operator
filtered_data <- filter(mutate(select(mtcars, mpg, cyl), ratio = mpg / cyl), ratio > 0.2)
# With pipe operator
filtered_data <- mtcars %>%
select(mpg, cyl) %>%
mutate(ratio = mpg / cyl) %>%
filter(ratio > 0.2)In the second example, the pipe operator helps chain together the
select, mutate, and filter
functions in a more readable and organized manner.
Remember that the pipe operator %>% is provided by
the magrittr package. If you want to use it, you need to
make sure that you have the package installed and loaded in your R
environment:
However, it’s worth noting that as of my last knowledge update in September 2021, the pipe operator has become so popular and widely used that it might be included in other packages or even base R in the future. Always consult the most up-to-date documentation for the latest information.