Buch, Englisch, 296 Seiten, Format (B × H): 234 mm x 156 mm, Gewicht: 464 g
Reihe: Mastering Computer Science
A Beginner's Guide
Buch, Englisch, 296 Seiten, Format (B × H): 234 mm x 156 mm, Gewicht: 464 g
Reihe: Mastering Computer Science
ISBN: 978-1-032-41518-5
Verlag: Taylor & Francis Ltd
R is a statistical computing and graphics programming language that you can use to clean, analyze, and graph data. It is widely used by researchers from various disciplines to estimate and display results and by teachers of statistics and research methods. This book is a detailed guide for beginners to understand R with an explanation of core statistical and research ideas.
One of the powerful characteristics of R is that it is open-source, which means that anyone can access the underlying code used to run the program and add their own code for free. It will always be able to perform the latest statistical analyses as soon as anyone thinks of them. R corrects mistakes quickly and transparently and has put together a community of programming and statistical experts that you can turn to for help.
Mastering R: A Beginner’s Guide not only explains how to program but also how to use R for visualization and modeling. The fundamental principles of R explained here are helpful to beginner and intermediate users interested in learning this highly technological and diverse language.
Zielgruppe
Professional
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
- Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
Weitere Infos & Material
About the Editor. Acknowledgments. Zeba Academy – Mastering Computer Science. Chapter 1 Introduction to R. Chapter 2 Handling Data with R. Chapter 3 Variables and Operators. Chapter 4 Loops and Decision-Making in R. Chapter 5 Functions and Strings. Chapter 6 Lists and Arrays. Chapter 7 Data Structures. Chapter 8 Error Handling and File Handling. Chapter 9 Graphics in R. APPRAISAL. INDEX.