0
0
R-programmingComparisonBeginner · 4 min read

%>% vs |> Pipe Operator in R: Key Differences and Usage

In R, %>% is the pipe operator from the magrittr package, widely used for chaining commands, while |> is the native pipe introduced in R 4.1.0. The native |> offers simpler syntax and better performance but lacks some advanced features of %>%.
⚖️

Quick Comparison

Here is a quick side-by-side comparison of the two pipe operators in R.

Feature%>% (magrittr)|> (native)
Introduced inmagrittr package (before R 4.1.0)R 4.1.0 (base R)
Syntax styleFunction chaining with placeholder supportSimpler chaining, no placeholder support
PerformanceSlightly slower due to package overheadFaster, built into base R
Placeholder supportYes, with .No native placeholder
CompatibilityRequires magrittr or tidyverseNo extra packages needed
Advanced featuresSupports pronouns, tee operator, and moreBasic piping only
⚖️

Key Differences

The %>% operator comes from the magrittr package and has been popular in the R community for years. It allows chaining multiple function calls in a readable way and supports a placeholder . to specify where the piped value goes inside the function call. This flexibility enables complex expressions and tidyverse-style data manipulation.

On the other hand, the native pipe |> was introduced in R version 4.1.0 to provide a lightweight, base R alternative. It uses simpler syntax and is faster because it does not rely on external packages. However, it does not support the placeholder ., so the piped value is always the first argument of the next function. This makes it less flexible but easier to learn and use for straightforward pipelines.

Another difference is that %>% supports advanced features like the tee operator %T>% and pronouns for referring to the left-hand side, which the native pipe does not have. Choosing between them depends on your need for these features versus simplicity and speed.

⚖️

Code Comparison

r
library(magrittr)

# Using %>% to chain functions with placeholder
result <- mtcars %>%
  subset(cyl == 6) %>%
  transform(mpg2 = mpg * 2) %>%
  head(3)

print(result)
Output
mpg cyl disp hp drat wt qsec vs am gear carb mpg2 Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4 42.0 Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4 42.0 Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1 42.8
↔️

|> Equivalent

r
# Using native |> pipe operator

result <- mtcars |>
  subset(cyl == 6) |>
  transform(mpg2 = mpg * 2) |>
  head(3)

print(result)
Output
mpg cyl disp hp drat wt qsec vs am gear carb mpg2 Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4 42.0 Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4 42.0 Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1 42.8
🎯

When to Use Which

Choose %>% when you need advanced piping features like placeholders, tee operator, or integration with tidyverse functions. It is ideal for complex data transformations and when you want maximum flexibility.

Choose the native |> pipe when you want a simple, fast, and dependency-free way to chain functions, especially for straightforward pipelines where the piped value is the first argument. It is great for base R users and when minimizing package dependencies.

In summary, use %>% for power and flexibility, and |> for simplicity and speed.

Key Takeaways

%>% is from magrittr and supports placeholders and advanced features.
|> is the native R pipe from version 4.1.0 with simpler syntax and better performance.
Use %>% for complex data workflows needing flexibility.
Use |> for simple, fast pipelines without extra packages.
Both pipes produce similar readable code but differ in capabilities and dependencies.