03494cam a2200385 a 4500 15338358 EG-ScBUE 20220407095854.0 080620r20142008enka f b 001 0 eng d 0521709180 (pbk.) 9780521709187 (pbk.) (OCoLC)ocn166626226 UKM eng rda UKM EG-ScBUE EG-ScBUE 410.151 BAA 22 Baayen, R. Harald‏, author. 41186 Analyzing linguistic data : a practical introduction to statistics using R / R. H. Baayen. Seventh printing. Cambridge : Cambridge University Press, 2014. xiii, 353 pages : illustrations ; 26 cm rdacontent text txt rdamedia unmediated n rdacarrier volume nc Includes bibliographical references and index. 1. An 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. A numerical vector and a factor: analysis of variance -- 4.5. Two vectors with counts -- 4.6. A 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. "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 in corpus linguistics, and analyze experimental data using state-of-the-art models. The visualization of data plays a key role, both in the early stages of data exploration and later on when the reader is encouraged to criticize initial models fitted to the data. Containing over forty exercises with model answers, this book will be welcomed by all linguists wishing to learn more about working with and presenting quantitative data." Mathematical linguistics. BUEsh 41185 Linguistics Statistical methods. BUEsh 41184 Computational linguistics. BUEsh 4459 R (Computer program language). 20132 BUEsh BUEsh HHUUEENN September2016 October2018 Reading book 34232 Table of contents only http://www.loc.gov/catdir/toc/fy0805/2008299641.html ddc BB 22388 22360 0 0 ddc 0 0 Baccah MAIN MAIN 2ND 2016-09-25 Purchase 380.00 26103 3 2 410.151 BAA 000033433 2025-07-15 00:00:00 2023-05-20 476.00 NB 0 0 ddc 0 0 Baccah MAIN MAIN 2ND 2018-10-31 Purchase 750.00 1 3 410.151 BAA 000043715 2025-07-15 00:00:00 2023-05-20 BB