Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for data science. It equips ambitious students, professionals, and researchers with the knowledge and skills to become independent users of this potent environment so that they can tackle any problem related to data wrangling and analytics, numerical computing, statistics, and machine learning.
Conditions of Use
This book is licensed under a Creative Commons License (CC BY-NC-SA). You can download the ebook Deep R Programming for free.
- Title
- Deep R Programming
- Publisher
- Zenodo
- Author(s)
- Marek Gagolewski
- Published
- 2023-06-28
- Edition
- 1
- Format
- eBook (pdf, epub, mobi)
- Pages
- 466
- Language
- English
- ISBN-13
- 9780645571929
- License
- CC BY-NC-SA
- Book Homepage
- Free eBook, Errata, Code, Solutions, etc.
I 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 II Deeper 9 Designing functions 10 S3 classes 11 Matrices and other arrays 12 Data frames 13 Graphics III Deepest 14 Interfacing compiled code 15 Unevaluated expressions 16 Environments and evaluation 17 Lazy evaluation
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