1787129055
Modern R Programming Cookbook
by: Jaynal Abedin
ISBN-10: 1787129055
ISBN-13: 9781787129054
Released: 2017-11-06
Pages: 291
Book Description
Key Features
Develop strategies to speed up your R code
Tackle programming problems and explore both functional and object-oriented programming techniques
Learn how to address the core problems of programming in R with the most popular R packages for common tasks
Book Description
R is a high-level statistical language and is widely used among statisticians and data miners for developing statistical applications. The objective of this book is to show how to work with different programming aspects of R. The emerging R developers and data science could have very good programming knowledge but might have limited understanding about R syntax and semantics. Our book will be a platform develop practical solution out of real world problem in scalable fashion and with very good understanding. You will work with various versions of R libraries that are essential for scalable data science solutions. You will learn to work with Input / Output issues when working with relatively larger dataset. At the end of this book readers will also learn how to work with databases from within R and also what and how meta programming helps in developing applications.
What you will learn
Install R and its various IDE for a given platform along with installing libraries from different repositories and version control
Learn about basic data structures in R and how to work with them
Write customized R functions and handle recursions,exceptions in R environments
Create the data processing task as a step by step computer program and execute using dplyr
Extract and process unstructured text data
Interact with database management system to develop statistical applications
Formulate and implement parallel processing in R
Contents
Chapter 1. Installing And Configuring R And Its Libraries
Chapter 2. Data Structures In R
Chapter 3. Writing Customized Functions
Chapter 4. Conditional And Iterative Operations
Chapter 5. R Objects And Classes
Chapter 6. Querying,Filtering,And Summarizing
Chapter 7. R For Text Processing
Chapter 8. R And Databases
Chapter 9. Parallel Processing In R
