How to do Linguistics with R

Acknowledgements
xi – xii
Introduction
1 – 6
Chapter 1. What is statistics?: Main statistical notions and principles
7 – 20
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Acknowledgements
xi – xii
Introduction
1 – 6
Chapter 1. What is statistics?: Main statistical notions and principles
7 – 20
Chapter 2. Introduction to R
21 – 40
Chapter 3. Descriptive statistics for quantitative variables
41 – 68
Chapter 4. How to explore qualitative variables: proportions and their visualizations
69 – 86
Chapter 5. Comparing two groups: t-test and Wilcoxon and Mann-Whitney tests for independent and dependent samples
87 – 114
Chapter 6. Relationships between two quantitative variables: Correlation analysis with elements of linear regression modelling
115 – 138
Chapter 7. More on frequencies and reaction times: Linear regression
139 – 170
Chapter 8. Finding differences between several groups: Sign language, linguistic relativity and ANOVA
171 – 198
Chapter 9. Measuring associations between two categorical variables: Conceptual metaphors and tests of independence
199 – 222
Chapter 10. Association measures: collocations and collostructions
223 – 240
Chapter 11. Geographic variation of quite: Distinctive collexeme analysis
241 – 252
Chapter 12. Probabilistic multifactorial grammar and lexicology: Binomial logistic regression
253 – 276
Chapter 13. Multinomial (polytomous) logistic regression models of three and more near synonyms
277 – 290
Chapter 14. Conditional inference trees and random forests
291 – 300
Chapter 15. Behavioural profiles, distance metrics and cluster analysis
301 – 322
Chapter 16. Introduction to Semantic Vector Spaces: Cosine as a measure of semantic similarity
323 – 332
Chapter 17. Language and space: Dialects, maps and Multidimensional Scaling
333 – 350
Chapter 18. Multidimensional analysis of register variation: Principal Components Analysis and Factor Analysis
351 – 366
Chapter 19. Exemplars, categories, prototypes: Simple and multiple correspondence analysis
367 – 386
Chapter 20. Constructional change and motion charts
387 – 394
Epilogue
395 – 396
The most important R objects and basic operations with them
397 – 408
Main plotting functions and graphical parameters in R
409 – 424
References
425 – 432
Subject Index
433 – 440
Index of R functions and packages
441 – 444
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