How to do Linguistics with R：Data exploration and statistical analysis

How to do Linguistics with R：Data exploration and statistical analysis

分享

作者: Natalia Levshina

出版社: John Benjamins Publishing Company

出版时间: 2015-11

ISBN: 9789027212252

装帧: 其他

开本: 其他

纸张: 其他

分类: 语言文字

2人买过

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
目录:
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

查看详情

相关分类

语言学汉语中国少数民族语言英语法语德语西班牙语俄语日语阿拉伯语韩语汉藏语系

2

How to do Linguistics with R: Data exploration and statistical analysis 英文版语言学使用R语言统计方法：数据探索和统计分析

九五品

书香无界北京外文书店

海外地区北美洲

平均发货28小时成功完成率95.61%

￥400.00

券

100减20

立即购买加入购物车不属于本条目