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Analyzing linguistic data : a practical introduction to statistics using R

Author: R Harald Baayen
Publisher: Cambridge, UK ; New York : Cambridge University Press, 2008.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"This textbook provides a straightforward introduction to the statistical analysis of language data. It clearly introduces the basic principles and methods of statistical analysis, using R, the leading computational statistics programming environment. The reader is guided step-by-step through a range of real data sets, allowing them to analyze phonetic data, construct phylogenetic trees, quantify register variation  Read more...
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Details

Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: R Harald Baayen
ISBN: 9780521882590 0521882591 9780521709187 0521709180
OCLC Number: 166626226
Description: xiii, 353 pages : illustrations ; 26 cm
Contents: 1. introduction to R --
1.1. R as a calculator --
1.2. Getting data into and out of R --
1.3. Accessing information in data frames --
1.4. Operations on data frames --
1.5. Session management --
2. Graphical data exploration --
2.1. Random variables --
2.2. Visualizing single random variables --
2.3. Visualizing two or more variables --
2.4. Trellis graphics --
3. Probability distributions --
3.1. Distributions --
3.2. Discrete distributions --
3.3. Continuous distributions --
4. Basic statistical methods --
4.1. Tests for single vectors --
4.2. Tests for two independent vectors --
4.3. Paired vectors --
4.4. numerical vector and a factor: analysis of variance --
4.5. Two vectors with counts --
4.6. note on statistical significance --
5. Clustering and classification --
5.1. Clustering --
5.2. Classification --
6. Regression modeling --
6.1. Introduction --
6.2. Ordinary least squares regression --
6.3. Generalized linear models --
6.4. Regression with breakpoints --
6.5. Models for lexical richness --
6.6. General considerations --
7. Mixed models --
7.1. Modeling data with fixed and random effects --
7.2. comparison with traditional analyses --
7.3. Shrinkage in mixed-effects models --
7.4. Generalized linear mixed models --
7.5. Case studies --
Appendix A. Solutions to the exercises --
Appendix B. Overview of R functions.
Responsibility: R.H. Baayen.
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Abstract:

A straightforward introduction to the statistical analysis of language data, designed for students with a non-mathematical background.  Read more...

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