Modern R Programming Cookbook. Recipes to simplify your statistical applications

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.