Quantitative Corpus Linguistics with R: A Practical Introduction

As In Its First Edition, The New Edition Of Quantitative Corpus Linguistics With R 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: Data Processing And Manipulation In General; Text Processing With And Without Regular Expressions Of Large Bodies Of Textual And/or Literary Data, And; Basic Aspects Of Statistical Analysis And Visualization. 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--provided By Publisher. 1. Introduction -- 2. The Four Central Corpus-linguistic Methods -- 3. An Introduction To R -- 4. Some Basic Statistical Notions And Tests -- 5. Using R In Corpus Linguistics : Case Studies -- 6. Next Steps ... Stefan Th. Gries. Includes Bibliographical References And Index.