Statistics for Linguistics with R: A Practical Introduction
Review text: "Gries has diligently compiled a work of great use and interest. It is relevantabove all to linguistic students and researchers, and can readily act as atextbook for taught courses. It should be noted that the book is equally usefulas a reference guide, with the analysis scenarios sufficiently well labelled andorganized so that the reader can dip into it as and when necessary, or as acomplete set of exercises which the reader can work through section by section."Andrew Caines in: Linguist List 22.412.
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Functions and arguments
Coefficients of correlation and linear regression
Multiple regression analysis
ANOVA analysis of variance
Binary logistic regression
Hierarchical agglomerative cluster analysis
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alternative hypothesis ANOVA argument arithmetic mean average boxplot character strings chi-square test chi-square value clauses column complex clippings compute concrete token set confidence interval CONSTRUCTION contributions to chi-square correlation Crawley data frame data points data set data structure default settings degrees of freedom dependent Dice coefficients direct object discuss disfluencies effect elements enter example expected frequencies experimental items factor Figure FILLER Formulating the hypotheses function further study graph independent samples independent variable interaction larger lengths linguistics look lower.tail=F means median methods namely nominal/categorical normally distributed null hypothesis OBJPOS observed frequencies one-tailed operationalized output p-value particle placement phrasal verb plot POSSESSOR predicted quantitative ratio-scaled variable Recommendation(s REFPOINT regression relevant represented result Section Shapiro-Wilk test significant similar source words spreadsheet standard deviation subjects t-test Table tails THINK BREAK tion tosses two-tailed test variable level combinations variance vector verb