Conclusion

Congratulations, you’ve completed the Factors module!

Learning Goals

Now that you’ve completed this module, you should be able to:

  1. Describe the characteristics of an R factor.
  2. Explain how factors differ from atomic vectors.
  3. Generate new factors in R.
  4. Access and modify factor levels.
  5. Describe important use-cases for Factors, and explain why factors are the best choice in these situations.

Additional Reading

For more information on the topics we’ve covered in this module, the following chapter from Hadley Wickham’s R for Data Science is an excellent resource.

Advanced Reading

For a much more technical deep-dive into vectors and vector-like structures (including factors), check out the following chapter from Hadley Wickham’s Advanced R.

Next Steps

Now that you have a good handle on R’s fundamental data structures you’re ready to start thinking about how to best organize your data analysis projects. In the next module, we’ll explore different aspects of effective R workflows.

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