2 edition of **Statistics for linguistics with R** found in the catalog.

Statistics for linguistics with R

Stefan Thomas Gries

- 54 Want to read
- 36 Currently reading

Published
**2009**
by Mouton de Gruyter in Berlin, New York
.

Written in English

- Linguistics -- Statistical methods,
- R (Computer program language)

**Edition Notes**

Includes bibliographical references and index.

Statement | by Stefan Th. Gries. |

Series | Trends in linguistics. Studies and monographs -- 208 |

Classifications | |
---|---|

LC Classifications | P138.5 .G75 2009 |

The Physical Object | |

Pagination | p. cm. |

ID Numbers | |

Open Library | OL23713367M |

ISBN 10 | 9783110205640, 9783110205657 |

LC Control Number | 2009037473 |

This book provides a linguist with a statistical toolkit for exploration and analysis of linguistic data. It employs R, a free software environment for statistical computing, which is increasingly popular among : e-books in Probability & Statistics category Probability and Statistics: A Course for Physicists and Engineers by Arak M. Mathai, Hans J. Haubold - De Gruyter Open, This is an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing.

The approach to data analysis to which this book provides a guide is fundamentally different in several ways. First of all, we will make use of a radically different tool for do-ing statistics, the interactive programming environment known as R. Ris an open source. Statistical Methods and Linguistics Steven Abney University of Tubingen¨ In the space of the last ten years, statistical methods have gone from being virtually unknown in computational linguistics to being a fundamental given. In , no one can profess to be a computational linguist without a passing knowl-edge of statistical methods.

The book contains R script programs to demonstrate important topics and concepts covered in a statistics course, including probability, random sampling, population distribution types, role of the Central Limit Theorem, creation of sampling distributions for statistics, and more. The Chatino people from Oaxaca, Mexico, believe that the departed begin a new life that is parallel to the world of the living, known in the Chatino language as Jlya G.. In order to reach Jlya G, the recently departed must traverse on a treacherous path that goes through mountains, rivers, and towns. Jlya G is a metaphysical place that corresponds to an actual location in our plane of.

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This book is the revised and extended second edition of Statistics for Linguistics with R. The comprehensive revision includes new small sections on programming topics that facilitate statistical analysis, the addition of a variety of statistical functions readers can apply to their own data, and a revision of overview sections on statistical tests and regression by: Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive mathematical by: 2.

This book is the revised and extended second edition of Statistics for Linguistics with volume is an introduction to statistics for linguists using the open source software ed on: Ma Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics.

The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive mathematical details. This book is an introduction to statistics for linguists using the open source software R.

It is aimed at students and professors with little or no statistical background, is written in a non-technical and reader-friendly style, and covers the structure of quantitative studies, descriptive and analytical statistics, multifactorial approaches and simple statistical graphs.4/5.

Book Description. Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues.

Statistics for Linguistics with R: A Practical Introduction (2nd ed.) (Mouton Textbook series) by Stefan Th. Gries. Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues Cited by: 2.

Corpus Linguistics and Statistics with R by Guillaume Desagulier Call Number: online. The statistical methodology and R-based coding from this book teaches readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies.

Chapters cover topics including corpus processing, frequencing data Author: Susan Atkey. The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies.

Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics. The book incorporates SPSS, which is a statistics package that incorporates a point and click interface rather than complex line-commands.

Step-by-step instructions are provided for some of the most widely used statistics in linguistics. Statistics for Linguistics with R: A Practical Introduction Mouton textbook Volume of Trends in linguistics / Studies and monographs: Studies and monographs Volume of Trends in linguistics.

Studies and monographs: Studies and monographs, ISSN Trends in linguistics: Studies and monographs, ISSN Authors4/5(1). Statistical Methods in Language and Linguistic Research illustrates with numerous examples how quantitative methods can most fruitfully contribute to linguistic analysis and research.

It does not intend to offer an exhaustive presentation of all statistical techniques available to linguistics, but to demonstrate the contribution that statistics can and should make to linguistic studies. This book is the revised and extended second edition of Statistics for Linguistics with volume is an introduction to statistics for linguists using the open source software R.

I am having a hard time deciding on which book to buy. I am currently choosing between "Analyzing Linguistic Data: A Practical Introduction to Statistics using R" by R.H. Baayen () and. 2) "Statistics for Linguistics with R: A Practical Introduction" by S.

Gries (2nd edition, ) Are there other good ones. This book is the revised and extended second edition of Statistics for Linguistics with R.

The comprehensive revision includes new small sections on programming topics that facilitate statistical analysis, the addition of a variety of statistical functions readers can apply to their own data, and a revision of overview sections on statistical tests and regression modeling.

Stefan Th. Gries: Companion website of: Home: Statistics for Linguistics with R published by Mouton de Gruyter: Contact information: Statistik für Sprachwissenschaftler published by Vandenhoeck und Ruprecht: Disclaimer: Here is the companion newsgroup for this book: Last updated: 15 May This book is the revised and extended second edition of Statistics for Linguistics with volume is an introduction to statistics for linguists using the open source software R.4/5(1).

This book is the revised and extended second edition of Statistics for Linguistics with R. The volume is an introduction to statistics for linguists using the open source software R.

Statistics With R by Vincent Zoonekynd - This is a complete introduction, yet goes quite a bit further into the capabilities of R.

Zoonekynd includes clustering, principal component analysis, ANOVA, graphics & plotting, probability distributions, regression & more. The book is available online via HTML, or downloadable as a PDF.

This book is the revised and extended second edition of Statistics for Linguistics with volume is an introduction to statistics for linguists using the open source software R.4/5(8).Andy Field wrote: "My R book is basically the SPSS book but for R, so the examples are the same as is a lot of the theory." If that is so, that book would be worth looking into.Welcome to Applied Statistics with R!

About This Book This book was originally (and currently) designed for use with STATMeth-ods of Applied Statistics, at the University of Illinois at Urbana-Champaign.

It may certainly be used elsewhere, but any references to “this course” in this book specifically refer to STAT