Book Image

Data Manipulation with R - Second Edition

By : Jaynal Abedin, Kishor Kumar Das
Book Image

Data Manipulation with R - Second Edition

By: Jaynal Abedin, Kishor Kumar Das

Overview of this book

<p>This book starts with the installation of R and how to go about using R and its libraries. We then discuss the mode of R objects and its classes and then highlight different R data types with their basic operations.</p> <p>The primary focus on group-wise data manipulation with the split-apply-combine strategy has been explained with specific examples. The book also contains coverage of some specific libraries such as lubridate, reshape2, plyr, dplyr, stringr, and sqldf. You will not only learn about group-wise data manipulation, but also learn how to efficiently handle date, string, and factor variables along with different layouts of datasets using the reshape2 package.</p> <p>By the end of this book, you will have learned about text manipulation using stringr, how to extract data from twitter using twitteR library, how to clean raw data, and how to structure your raw data for data mining.</p>
Table of Contents (13 chapters)
Data Manipulation with R Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Applying the split-apply-combine strategy


For the purpose of demonstration, we will use an iris flower dataset, which is readily available in R. The iris flower has three different species: iris setosa, iris virginica, and iris versicolor. Fifty samples from each species were collected and, for each sample, four variables were measured: the length and width of the sepals and petals. The name of each flower is stored under the species column, and the length and width of sepal is stored under the Sepal.Length and Sepal.Width columns, respectively. Similarly, the length and width of the petal are stored under the Petal.Length and Petal.Width columns, respectively. The following command shows the first few rows from the iris data frame:

> head(iris)
  Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1          5.1         3.5          1.4         0.2  setosa
2          4.9         3.0          1.4         0.2  setosa
3          4.7         3.2          1.3         0.2  setosa
4  ...