Contents
Index
Search
1. Welcome!
2. The programming language R - a useful tool for linguists
3. Basic knowledge about R and statistics
3.1 Loading data into R
3.2 Variable types
4. Graphical visualization of data in R
4.1 Univariate statistics
4.1.1 Frequency data
4.1.2 Measures of central tendency and measures of dispersion
4.2 Bivariate statistics
4.2.1 Frequencies of crosstabulation
4.2.2 Measures of central tendencies and measures of dispersion
4.3 Multivariate statistics
4.3.1 Nominal/categorical variable depending on nominal/categorical variables
4.3.2 Interval/ratio-scaled variable depending on two nominal/categorical variables
4.3.3 Interval/ratio-scaled variable depending on interval/ratio-scaled variables
5. Evaluation of the books consulted
5.1 Evaluation criteria
5.2 BAAYEN's Analyzing linguistic data (2008)
5.3 GRIES' Quantitative corpus linguistics (2009a)
5.4 GRIES' Statistics for linguistics with R (2009b)
5.5 JOHNSON's Quantitative methods in linguistics (2008)
5.6 Recommendations for further study
6. Closing remarks
References
Search: