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      Advanced R Solutions

      AvMalte Grosser,Henning Bumann

      Inbunden, Engelska, 2021

      Del i serien Chapman & Hall/CRC The R Series

      2 067 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Fler format och utgåvor

      Häftad

      684 kr

      Beskrivning

      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. Working through the exercises and their solutions will give you a deeper understanding of a variety of programming challenges, many of which are relevant to everyday work. This will expand your set of tools on a technical and conceptual level. You will be able to transfer many of the specific programming schemes directly and will discover far more elegant solutions to everyday problems.Features: When R creates copies, and how it affects memory usage and code performance Everything you could ever want to know about functions The differences between calling and exiting handlers How to employ functional programming to solve modular tasks The motivation, mechanics, usage, and limitations of R's highly pragmatic S3 OO system The R6 OO system, which is more like OO programming in other languages The rules that R uses to parse and evaluate expressions How to use metaprogramming to generate HTML or LaTeX with elegant R code How to identify and resolve performance bottlenecks

      Produktinformation

      • Utgivningsdatum:2021-08-24
      • Mått:156 x 234 x 21 mm
      • Vikt:660 g
      • Format:Inbunden
      • Språk:Engelska
      • Serie:Chapman & Hall/CRC The R Series
      • Antal sidor:286
      • Förlag:Taylor & Francis Ltd
      • ISBN:9781032007502

      Utforska kategorier

      • Matematisk statistik inom Naturvetenskap och teknik
      • Affärsapplikationer inom Data och IT

      Mer om författaren

      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.

      Recensioner i media

      "I learned a lot working through their solutions — it's a great way to broaden and deepen your understanding of R. (I should probably go through it again...)"- Greg Wilson"Advance R Solutions is a great educational resource that I can recommend to my students. [. . . ] Advanced R, 2nd Edition and the new Advanced R Solutions constitute a dynamic duo for advancing my student’s knowledge in an orderly manner.[. . .] I would say that if you’re a data scientists who uses R, then Advanced R Solutions should be part of your professional library. Taking some time to explore the various solutions and expand on them with your own experiments, will only help you hone your skills and increase your knowledge. R is a great programming environment that I enjoy on a daily basis. Having yet another resource like this for deepening my knowledge can only lead to good things."– insideBIGDATA, Daniel D. Gutierrez

      Innehållsförteckning

      • Part I Foundations2. Names and values3. Vectors4. Subsetting5. Control Flow6. Functions7. Environments8. ConditionsPart II Funtional Programming9. Functionals10. Function Factories11. Function OperatorsPart III Object oriented programming13. S314. R615. S4Part IV Metaprogramming18. Expressions19. Quasiquotation20. Evaluation21. Translating R CodePart V Techniques23. Measuring Performance24. Improving Performance25. Rewriting R code in C++
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