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• Title:How to do linguistics with R : data exploration and statistical analysis / Natalia Levshina, Université Catholique de Louvain.
  
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• Author/Creator:Levshina, Natalia, author.
  
• Published/Created:Amsterdam ; Philadelphia : John Benjamins Publishing Company, [2015]
  

• Holdings

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  • Location:KOERNER LIBRARY stacks (Floor 1)Where is this?
    
  • Call Number: P98.5.S83 L487 2015
    
  • Number of Items:1
    
  • Status:Available
    

   
• Library of Congress Subjects:Computational linguistics--Methodology.
  Computational linguistics--Statistical methods.
  Linguistics--Software.
  
• Description:x, 443 pages : illustrations (some color), maps ; 25 cm
  
• Notes:Includes bibliographical references (pages 425-432) and indexes.
  
• ISBN:9789027212245 (hb : alk. paper)
  9027212244 (hb : alk. paper)
  9789027212252 (pb : alk. paper)
  9027212252 (pb : alk. paper)
  9789027268457 (e-book)
  
• Contents:Machine generated contents note: ch. 1 What is statistics? Main statistical notions and principles
  1.1. Statistics and statistics
  1.2. How to formulate and test your hypotheses
  1.3. What statistics cannot do for you
  1.4. Types of variables
  1.5. Summary
  ch. 2 Introduction to R
  2.1. Why use R?
  2.2. Installation of the basic distribution and add-on packages
  2.3. First steps with R
  2.4. Main types of R objects
  2.5. RStudio
  2.6. Importing and exporting your data and saving your graphs
  2.7. Summary
  ch. 3 Descriptive statistics for quantitative variables
  3.1. Analysing the distribution of word lengths: Basic descriptive statistics
  3.2. Bad times, good times: Visualization of a distribution and detection of outliers
  3.3. Zipf's law and word frequency: Transformation of quantitative variables
  3.4. Summary
  ch. 4 How to explore qualitative variables: Proportions and their visualizations
  4.1. Frequency tables, proportions and percentages
  4.2. Visualization of categorical data
  4.3. Basic Colour Terms: Deviations of Proportions in subcorpora
  4.4. Summary
  ch. 5 Comparing two groups: t-test and Wilcoxon and Mann-Whitney tests for independent and dependent samples
  5.1. Comparing group means or medians: An overview of the tests
  5.2. Comparing the number of associations triggered by high- and low-frequency nouns with the help of the independent t-test
  5.3. Comparing concreteness scores of high- and low-frequency nouns with the help of a two-tailed Wilcoxon test
  5.4. Comparing associations produced by native and non-native speakers: The dependent one-tailed t-test
  5.5. Summary
  ch. 6 Relationships between two quantitative variables: Correlation analysis with elements of linear regression modelling
  6.1. What is correlation?
  6.2. Word length and word recognition: The Pearson product-moment correlation coefficient
  6.3. Emergence of grammar from lexicon: Spearman's ρ and Kendall's τ
  6.4. Visualization of correlations between more than two variables with the help of correlograms
  6.5. Summary
  ch. 7 More on frequencies and reaction times: Linear regression
  7.1. basic principles of linear regression analysis
  7.2. Putting several explanatory variables together: Predicting reaction times in a lexical decision task
  7.3. Summary
  ch. 8 Finding differences between several groups: Sign language, linguistic relativity and ANOVA
  8.1. What is ANOVA?
  8.2. Motion events in Nicaraguan Sign Language: Independent one-way ANOVA
  8.3. Development of spatial modulations in Nicaraguan Sign Language: Independent factorial (two-way) ANOVA
  8.4. Do native English and native Mandarin Chinese speakers conceptualize time differently? Repeated-measures and mixed ANOVA (mixed GLM method)
  8.5. Summary
  ch. 9 Measuring associations between two categorical variables: Conceptual metaphors and tests of independence
  9.1. Testing independence
  9.2. story of over is not over: Metaphoric and non-metaphoric uses in two registers (analysis of a 2-by-2 contingency table)
  9.3. Metaphorical and non-metaphorical uses of see in four registers (analysis of a 4-by-2 table)
  9.4. Summary
  ch. 10 Association measures: Collocations and collostructions
  10.1. Measures of association: A brief typology
  10.2. Case study: The Russian ditransitive construction and its collexemes
  10.3. Summary
  ch. 11 Geographic variation of quite: Distinctive collexeme analysis
  11.1. Introduction to distinctive collexeme analysis
  11.2. Distinctive collexeme analysis of quite + ADJ in different varieties of English: A unified approach
  11.3. Summary
  ch. 12 Probabilistic multifactorial grammar and lexicology: Binomial logistic regression
  12.1. Introduction to logistic regression
  12.2. Logistic regression model of Dutch causative auxiliaries doen and laten
  12.3. Summary
  ch. 13 Multinomial (polytomous) logistic regression models of three and more near synonyms
  13.1. What is multinomial regression?
  13.2. Multinomial models of English permissive constructions
  13.3. Summary
  ch. 14 Conditional inference trees and random forests
  14.1. Conditional inference trees and random forests
  14.2. Conditional inference trees and random forests of three English causative constructions
  14.3. Summary
  ch. 15 Behavioural profiles, distance metrics and cluster analysis
  15.1. What are Behavioural Profiles?
  15.2. Behavioural Profiles of English analytic causatives
  15.3. Summary
  ch. 16 Introduction to Semantic Vector Spaces: Cosine as a measure of semantic similarity
  16.1. Distributional models of semantics and Semantic Vector Space models
  16.2. Semantic Vector Space model of English verbs of cooking
  16.3. Summary
  ch. 17 Language and space: Dialects, maps and Multidimensional Scaling
  17.1. Making maps with R
  17.2. What is Multidimensional Scaling?
  17.3. Computation and representation of geographical distances
  17.4. Computation and representation of linguistic distances: The Kruskal non-metric MDS
  17.5. Mantel test for distance matrices
  17.6. Summary
  ch. 18 Multidimensional analysis of register variation: Principal Components Analysis and Factor Analysis
  18.1. Multidimensional analysis of register variation
  18.2. Case study: Register variation in the British National Corpus
  18.3. Summary
  ch. 19 Exemplars, categories, prototypes: Simple and multiple correspondence analysis
  19.1. Register variation of Basic Colour Terms: Simple Correspondence Analysis
  19.2. Visualization of exemplars and prototypes of lexical categories: Multiple Correspondence Analysis of Stuhl and Sessel
  19.3. Summary
  ch. 20 Constructional change and motion charts
  20.1. past and present of the future: Diachronic motion charts of be going to and will
  20.2. Summary.