R Programming: Mastering Data Science and Statistical Computing
β Scribed by Nolan, Rama
- Publisher
- Independently published
- Year
- 2024
- Tongue
- English
- Leaves
- 101
- Series
- Computer Programming Book 5
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Unlock Your Data Science Potential with R Programming!
Dive into βR Programming: Mastering Data Science and Statistical Computingβ, the ultimate guide to one of the most powerful tools in the world of data science. Whether you're a complete beginner or an experienced professional looking to refine your expertise, this book is your gateway to mastering R programming.
π SIMILAR VOLUMES
<p>Master functions and discover how to write functional programs in R. In this concise book, you'll make your functions pure by avoiding side-effects; youβll write functions that manipulate other functions, and youβll construct complex functions using simpler functions as building blocks.<br>In <i>
<span>Master functions and discover how to write functional programs in R. In this book, updated for R 4, you'll learn to make your functions pure by avoiding side effects, write functions that manipulate other functions, and construct complex functions using simpler functions as building blocks.<br
<span>Master functions and discover how to write functional programs in R. In this book, updated for R 4, you'll learn to make your functions pure by avoiding side effects, write functions that manipulate other functions, and construct complex functions using simpler functions as building blocks.<br
<p>Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems available in R. This book gives an introduction to object-oriented programming in the R programming language and shows you how to use and apply R in an object-o