Conditional statements and repeated operations are some of the important aspects in any programming, whether it is in the data science area or for general programming purpose. Often, you will need to test several alternative statements. For example, if you are optimizing any mathematical function, the stopping rule depends on the conditional statement. Also, if you are solving any equation that needs iteration, you must use the repetition operator. The recipes of this chapter will give you a basic understanding of the use of conditional and repetitive statements in R. Each recipe contains certain context and code with explanation. You will feel confident in writing a conditional statement and using a loop in R after reading this chapter.

#### Modern R Programming Cookbook

##### By :

#### Modern R Programming Cookbook

##### By:

#### 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)

Preface

Free Chapter

Installing and Configuring R and its Libraries

Data Structures in R

Writing Customized Functions

Conditional and Iterative Operations

R Objects and Classes

Querying, Filtering, and Summarizing

R for Text Processing

R and Databases

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