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)

Creating an array and accessing its properties

An array is a way to organize data of the same type in more than two dimensions. An array could be of any dimension, and the data type must be the same in each of the array elements. A matrix is a special case of an array with only two dimensions. In this recipe, you will learn how to create an array and how to access its elements.

Getting ready

Suppose you are in a situation where you must store a series of matrices into a single R object and then perform analysis based on that; however, in this case, this is the perfect and efficient way to create an array. For example, you are in a situation to store four matrices of 2 x 2 order.