"This book is a textbook on R, a programming language and environment for statistical analysis and visualization. Its primary aim is to introduce R as a research instrument in quantitative Interactional Linguistics. Focusing on visualization in R, the book presents original case studies on conversational talk-in-interaction based on corpus data and explains in good detail how key graphs in the case studies were programmed in R. It also includes task sections to enable readers to conduct their own research and compute their own visualizations in R. Both the code underlying the key graphs in the case studies and the datasets used in the case studies as well as in the task sections are made available on the book's companion website"--.

• Visual Linguistics with R
• Title page
• Copyright page
• Table of contents
• Acknowledgments
• 1. Introduction
  • 1.1 On the design of this book
  • 1.2 On Interactional Linguistics, Conversation Analysis, and Corpus Linguistics
  • 1.3 On the book’s two languages
  • 1.4 Aims of this book
  • 1.5 Chapter structure
  • 1.6 Installing R and R Studio
  • 1.7 How to get help with R
• 2. Data management in R
  • 2.1 Introduction
  • 2.2 Basics
  • 2.3 Vectors
  • 2.4 Subsetting data
  • 2.5 Dataframes and matrices
  • 2.6 Regular expressions
  • 2.7 Importing and exporting data
• 3. Graphical parameters
  • 3.1 Introduction
  • 3.2 Plot layout
  • 3.3 Point characters and line types
  • 3.5 Adding text
  • 3.6 Legends
  • 3.7 Colors
  • 3.8 An illustration: Duration, word class, and phonetic size
• 4. Location plots
  • 4.1 Case study: Turn structure and inserts
    • 4.1.1 Introduction
    • 4.1.2 Data and methods
    • 4.1.3 Results
    • 4.1.4 Discussion and conclusions
  • 4.2 The location plot in the case study
  • 4.3 Task: Internal structure of complex pre-starts
• 5. Barplots
  • 5.1 Case study: Turn structure – Turns and lexis
    • 5.1.1 Introduction
    • 5.1.2 Data and methods
    • 5.1.3 Results
    • 5.1.4 Discussion and concluding remarks
  • 5.2 The barplot in the case study
  • 5.3 Task: Proportions of frequency groups in 7-word turns
• 6. Dotcharts
  • 6.1 Case study: Turns and information structure
    • 6.1.1 Introduction
    • 6.1.2 Data and methods
    • 6.1.3 Results
    • 6.1.4 Discussion and conclusion
    • 6.2 The dotchart in the case study
  • 6.3 Task: Nucleus placement and duration
• 7. Heatmaps and dendrograms
  • 7.1 Case study: Turns and speech rate
    • 7.1.1 Introduction
    • 7.1.2 Data and methods
    • 7.1.3 Results
    • 7.1.4 Discussion and concluding remarks
    • 7.2 The heatmap and the dendrogram in the case study
  • 7.3 Task: Frequency structure in turns
• 8. Strip charts and violin plots
  • 8.1 Case study: Storytelling structure – The role of adnominal this in Orientation
    • 8.1.1 Introduction
    • 8.1.2 Data and methods
    • 8.1.3 Results
    • 8.1.4 Discussion and concluding remarks
  • 8.2 The stripchart and the violin plot in the case study
  • 8.3 Task: Storytelling structure – The role of time expressions in Orientation
• 9. Scatter plots
  • 9.1 Case study: Storytelling – The role of intensity and pitch in advance-projecting the Climax
    • 9.1.1 Introduction
    • 9.1.2 Data and methods
    • 9.1.3 Results
    • 9.1.4 Discussion and concluding remarks
  • 9.2 The scatter plot in the case study
  • 9.3 Task: Intensity, pitch and climax in “Non-smoking area”
• 10. Association plots and mosaic plots
  • 10.1 Case study: Paralinguistic prosody in constructed dialog in storytelling
    • 10.1.1 Introduction
    • 10.1.2 Data and methods
    • 10.1.3 Results
    • 10.1.4 Discussion and concluding remarks
  • 10.2 The association plot and the mosaic plot in the case study
  • 10.3 Task: Paralinguistic prosody in the use of backchannels in storytelling
• 11. Box plots
  • 11.1 Case study: Turn completion – Turn-final lengthening
    • 11.1.1 Introduction
    • 11.1.2 Data and methods
    • 11.1.3 Results
    • 11.1.4 Discussion and concluding remarks
  • 11.2 The boxplot in the case study
  • 11.3 Task: Turn-final lengthening in 9-word turns in the BNC
• 12. Histograms and density plots
  • 12.1 Case study: Turn transition – Backchannel response time
    • 12.1.1 Introduction
    • 12.1.2 Data and methods
    • 12.1.3 Results
    • 12.1.4 Discussion and concluding remarks
  • 12.2 The histogram and density plot in the case study
  • 12.3 Task: Response time for laughter
• 13. Concluding remarks
  • 13.1 Single-case analysis and visualization
  • 13.2 Regular expression and transcription
  • 13.3 Integrating quantitative and qualitative analysis
  • 13.4 Multimodal enhancement
  • 13.5 To conclude
• Function index
• Conceptual index