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)

The use of the if conditional statement

The use of a conditional statement or conditional operator is an essential part of any programming task. You may need to test a scenario in which there are two alternative options. Further work will depend on the outcome of the test scenario. In R, using the if statement, you can compare scenarios that usually have two alternative options. In this recipe, you will use the conditional statement if.

Getting ready

The general structure of the if statement in R is as follows:


From the general structure of the if statement, it is intuitive that if the test scenario produces TRUE, then the statement with curly braces will be executed...