Statistics for Linguistics with R (eBook)

A Practical Introduction

Stefan Th. Gries (Autor)

eBook Download: PDF

2009
345 Seiten
De Gruyter (Verlag)
978-3-11-021604-2 (ISBN)

Infos

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, written in a non-technical and reader-friendly/accessible style, and covers the structure of quantitative studies, descriptive and analytical statistics, multifactorial approaches and simple statistical graphs.

Stefan Th. Gries, University of California, Santa Barbara, USA.

Autor

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Stefan Th. Gries, University of California, Santa Barbara, USA.

Inhalt

Preface 6
Contents 8
Chapter 1 Some fundamentals of empirical research 12
Chapter 2 Fundamentals of R 69
Chapter 3 Descriptive statistics 107
Chapter 4 Analytical statistics 159
Chapter 5 Selected multifactorial methods 249
Chapter 6 Epilog 331
References 334
Function index 340

Rezensionen

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"Gries has diligently compiled a work of great use and interest. It is relevant
above all to linguistic students and researchers, and can readily act as a
textbook for taught courses. It should be noted that the book is equally useful
as a reference guide, with the analysis scenarios sufficiently well labelled and
organized so that the reader can dip into it as and when necessary, or as a
complete set of exercises which the reader can work through section by section."
Andrew Caines in: Linguist List 22.412

Produkt-Details

• Erscheint lt. Verlag: 15.12.2009
• Reihe/Serie: ISSN
• Reihe/Serie: Trends in Linguistics. Studies and Monographs [TiLSM]
• Verlagsort: Berlin/Boston
• Sprache: englisch
• Themenwelt: Geisteswissenschaften ► Philosophie ► Sprachphilosophie
• Themenwelt: Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Sprachwissenschaft
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Schlagworte: Corpus Linguistics • Korpuslinguistik • Linguistic Data • Linguistische Datenverarbeitung • statistic analysis • Statistische Analyse
• ISBN-10: 3-11-021604-3 / 3110216043
• ISBN-13: 978-3-11-021604-2 / 9783110216042