Quantitative Corpus Linguistics with R

<p>As in its first edition, the new edition of <em>Quantitative Corpus Linguistics with R</em> demonstrates how to process corpus-linguistic data with the open-source programming language and environment R. Geared in general towards linguists working with observational data, and particularly corpus linguists, it introduces R programming with emphasis on:</p><ul> <li>data processing and manipulation in general;</li> <li>text processing with and without regular expressions of large bodies of textual and/or literary data, and;</li> <li>basic aspects of statistical analysis and visualization.</li> </ul><p>This book is extremely hands-on and leads the reader through dozens of small applications as well as larger case studies. Along with an array of exercise boxes and separate answer keys, the text features a didactic sequential approach in case studies by way of subsections that zoom in to every programming problem. The companion website to the book contains all relevant R code (amounting to approximately 7,000 lines of heavily commented code), most of the data sets as well as pointers to others, and a dedicated Google newsgroup. This new edition is ideal for both researchers in corpus linguistics and instructors who want to promote hands-on approaches to data in corpus linguistics courses. </p> <p>Chapter 1. Introduction</p><p>Chapter 2. The Four Central Corpus-Linguistic Methods</p><p>Chapter 3. An Introduction to R</p><p>Chapter 4. Some Basic Statistical Notions and Tests</p><p>Chapter 5. Using R in Corpus Linguistics: Case Studies</p><p>Chapter 6. Next steps</p>