This book, Data Manipulation with R, is aimed at giving intermediate-to-advanced level users of R (who have knowledge about datasets) an opportunity to use state-of-the-art approaches in data manipulation. This book will discuss the types of data that can be handled using R and different types of operations for those data types. Upo n reading this book, you will be able to efficiently manage and check the validity of your datasets with the effective use of R programming, including specialized packages for data management. You will come to know about the split-apply-combine strategy, which is a state-of-the-art approach in data management. You will also come to know the way to work with database software through ODBC with the help of very simple examples. This book ends with an introduction to text processing for text mining using R. n reading this book, you will be able to efficiently manage and check the validity of your datasets with the effective use of R programming, including specialized packages for data management. You will come to know about the split-apply-combine strategy, which is a state-of-the-art approach in data management. You will also come to know the way to work with database software through ODBC with the help of very simple examples. This book ends with an introduction to text processing for text mining using R.