As in its first edition, Quantitative Corpus Linguistics with R, Second Edition demonstrates how to process corpus-linguistic data with the open source programming language and environment R. Geared towards linguists working with observational data in general and corpus linguists in particular, it introduces R programming with particular emphases on (i) data processing and manipulation in general, (ii) text processing with and without regular expressions of large bodies of textual and/or literary data, and (iii) basic aspects of statistical analysis and visualization.
The second edition of 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 7000 lines of heavily-commented code), most of the data sets as well as pointers to others, and a Google newsgroup dedicated to this book. 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.
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