# Statistics

Review "As research in the language sciences becomes more interdisciplinary, students must become proficient in a wider range of data analysis methods. Johnson’s text is a comprehensive and detailed introduction to some of the most widely used statistical methods in language research.
Quantitative Methods In Linguistics (9781405144254): Keith Johnson

Analyzing Linguistic Data: A Practical Introduction to Statistics using R (9780521709187): R. H. Baayen
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Statistics in Language Studies (Cambridge Textbooks in Linguistics) (9780521273121): Anthony Woods, Paul Fletcher, Arthur Hughes

Statistics for Linguistics with R: A Practical Introduction (Mouton Textbook) (9783110205657): Stefan Th. Gries
Book Description Publication Date: March 15, 2013 | ISBN-10: 3110307286 | ISBN-13: 978-3110307283 | Edition: 2nd Revised edition 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.

Software Resources for R Below is a list of resource pages for using R to do statistics. On each page a set of data are explored with the software.
Software Resources for R

Introduction to R

Excel Charts Blog posted a video tutorial of how to create a circumplex or rose or dougnut chart in Excel. Apparently this type of chart is very popular in the consulting industry, hence the “Consultants’ Chart”. It is very easy to make this chart in Excel 2010, but it involves countless number of clicks and formulas to format both the source data and the chart itself. In ggplot2 the same can be achieved with around 10 lines of code, as can be seen below. Read more…

## Learning R

* R is a free software environment for statistical computing and graphics. It runs on a wide variety of UNIX platforms, Windows and MacOS. This R Wiki is dedicated to the collaborative writing of R documentation. For information on browsers, RSS syndication, copyright, ... read usage. R comes with several official manuals and FAQs. These should be your primary source of information.
start [R Wiki]

Basics Reading files Graphs Probability and statistics Regression Time-series analysis