Perform group-wise data manipulation using R efficiently with Packt’s new book and eBook

March 2014 | Open Source

Packt is pleased to announce the release of its new book, Data Manipulation with R, a focused guide to help readers handle large datasets, interact with database software, and manipulate data using sqldf, as well as perform factor manipulation and string processing. The print book is 102 pages long and is competitively priced at $29.99, while the eBook is available on Kindle or PDF for $15.29.

About the author:

Jaynal Abedin currently holds the position of statistician at the Centre for Communicable Diseases (CCD) at icddrb ( He attained his Bachelor's and Master's degrees in Statistics from the University of Rajshahi, Rajshahi, Bangladesh. He has vast experience in R programming and Stata and has efficient leadership qualities. He is currently leading a team of statisticians. He has hands-on experience in developing training material and facilitating training in R programming and Stata along with statistical aspects in public health research. His primary area of interest in research includes causal inference and machine learning. He is currently involved in several ongoing public health research projects and is a co-author of several work-in-progress manuscripts. He can be contacted at

R is a free software programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.

With Data Manipulation With R, readers will learn R data types and their basic operations, deal efficiently with string, factor, and date, and understand group-wise data manipulation. Readers will also work with different layouts of the R dataset and interchange between layouts for different purposes. This book helps connect R with database software to manage relational databases, manipulate datasets using SQL statements through the sqldf package and to manage bigger datasets using R.

This book covers the following chapters:

Chapter 1: R Data Types and Basic Operations

Chapter 2: Basic Data Manipulation

Chapter 3: Data Manipulation Using plyr

Chapter 4: Reshaping Datasets

Chapter 5: R and Databases

This book is aimed at intermediate to advanced level users of R who want to perform data manipulation with R, and those who want to clean and aggregate data effectively. Readers are expected to have at least an introductory knowledge of R and some basic administration work in R, such as installing packages and calling them when required. To learn more about the book please visit the book page at

Data Manipulation with R
This book is a step-by step, example-oriented tutorial that will show both intermediate and advanced users how data manipulation is facilitated smoothly using R

For more information, please visit:

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