Conclusion
Now that you’ve completed this module, you should have a good handle on the fundamentals of pipes in R. Specifically, you should have a good sense of the following concepts.
- What problems pipes solve and which situations benefit from a pipeline-based approach.
- How you can use pipes to compose multiple functions into a single pipeline.
- How and when to use four different flavors of pipe operator.
Next Steps
Pipes are very useful tools in many situations, but they truly shine when using in data processing workflows, especially when combined with dplyr data manipulation functions. As such, we recommend the Data Manipulation module as a natural next step that directly extends the tools you learned in this module.