Data Manipulation with R -- Table of Contents -- Data Manipulation with R -- Credits -- About the Author -- About the Reviewers -- www.PacktPub.com -- Support files, eBooks, discount offers, and more -- Why subscribe? -- Free access for Packt account holders -- Preface -- What this book covers -- What you need for this book -- Who this book is for -- Conventions -- Reader feedback -- Customer support -- Downloading the example code -- Errata -- Piracy -- Questions -- 1. R Data Types and Basic Operations -- Modes and classes of R objects -- R object structure and mode conversion -- Vector -- Factor and its types -- Data frame -- Matrices -- Arrays -- list -- Missing values in R -- Summary -- 2. Basic Data Manipulation -- Acquiring data -- Factor manipulation -- Factors from numeric variables -- Date processing -- Character manipulation -- Subscripting and subsetting -- Summary -- 3. Data Manipulation Using plyr -- The split-apply-combine strategy -- Split-apply-combine without a loop -- Split-apply-combine with a loop -- Utilities of plyr -- Intuitive function names -- Input and arguments -- Comparing default R and plyr -- Multiargument functions -- Summary -- 4. Reshaping Datasets -- The typical layout of a dataset -- Long layout -- Wide layout -- The new layout of a dataset -- Reshaping the dataset from the typical layout -- Reshaping the dataset with the reshape package -- Melting data -- Missing values in molten data -- Casting molten data -- The reshape2 package -- Summary -- 5. R and Databases -- R and different databases -- R and Excel -- R and MS Access -- Relational databases in R -- The filehash package -- The ff package -- R and sqldf -- Data manipulation using sqldf -- Summary -- A. Bibliography -- Index.