This book offers solutions to all 284 exercises in Advanced R, Second Edition. All the solutions have been carefully documented and made to be as clear and accessible as possible.
This book offers solutions to all 284 exercises in Advanced R, Second Edition. All the solutions have been carefully documented and made to be as clear and accessible as possible.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Malte Grosser is a business mathematician from Hamburg, who has been programming in R regularly since the beginning of his career. He is currently finishing his PhD on machine learning for stroke outcome prediction and develops solutions in business as a data scientist. Henning Bumann is a psychologist and statistician who enjoys making sense of data and is motivated to build data-driven solutions that are beautiful and meaningful. He prefers free programming tools to support effective and transparent collaboration. Hadley Wickham is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science.
Inhaltsangabe
Part I Foundations 2. Names and values 3. Vectors 4. Subsetting 5. Control Flow 6. Functions 7. Environments 8. Conditions Part II Funtional Programming 9. Functionals 10. Function Factories 11. Function Operators Part III Object oriented programming13. S3 14. R6 15. S4 Part IV Metaprogramming18. Expressions 19. Quasiquotation 20. Evaluation 21. Translating R Code Part V Techniques23. Measuring Performance 24. Improving Performance 25. Rewriting R code in C++
Part I Foundations 2. Names and values 3. Vectors 4. Subsetting 5. Control Flow 6. Functions 7. Environments 8. Conditions Part II Funtional Programming 9. Functionals 10. Function Factories 11. Function Operators Part III Object oriented programming13. S3 14. R6 15. S4 Part IV Metaprogramming18. Expressions 19. Quasiquotation 20. Evaluation 21. Translating R Code Part V Techniques23. Measuring Performance 24. Improving Performance 25. Rewriting R code in C++
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