Book Image

Modern R Programming Cookbook

By : Jaynal Abedin
Book Image

Modern R Programming Cookbook

By: Jaynal Abedin

Overview of this book

R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishment of many intelligent, hard-working people. There are more than 2,000 available add-ons, and R is a serious rival to all commercial statistical packages. 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.
Table of Contents (10 chapters)

Data Structures in R

In this chapter, you will learn about the data structures of R and how to create and access its properties, and various operations related to a specific data structure. The following recipes will be covered in this chapter:

  • Creating a vector and accessing its properties
  • Creating a matrix and accessing its properties
  • Creating a data frame and accessing its properties
  • Creating an array and accessing its properties
  • Creating a list from a combination of vector, matrix, and data frames
  • Converting a matrix to a data frame and a data frame to a matrix