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Deep R Programming
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Deep R Programming
An open-access textbook
by Marek Gagolewski
v1.0.1.9003
  • About
  • Author
  • This book in PDF
  • Order a paper copy
  • Report bugs or typos (GitHub)
  • Datasets
  • Data wrangling with Python

Start here

  • Preface

Deep

  • 1. Introduction
  • 2. Numeric vectors
  • 3. Logical vectors
  • 4. Lists and attributes
  • 5. Vector indexing
  • 6. Character vectors
  • 7. Functions
  • 8. Flow of execution

Deeper

  • 9. Designing functions
  • 10. S3 classes
  • 11. Matrices and other arrays
  • 12. Data frames
  • 13. Graphics

Deepest

  • 14. Interfacing compiled code (**)
  • 15. Unevaluated expressions (*)
  • 16. Environments and evaluation (*)
  • 17. Lazy evaluation (**)

Appendix

  • Changelog
  • References
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