Week 6
26
Interim summary
Quantitative Data Analysis for Linguists in R
Welcome!
Preface
Week 1
1
Research methods
2
Research context
3
Quantitative data analysis
4
R basics
5
R packages
Week 2
6
Inference
7
R scripts
8
Statistical variables
9
Read data in R
10
Summary measures
11
Summarise data
Week 3
12
Transform data
13
Quarto
14
Visualisation principles
15
Plotting
16
More plotting
17
Research cycle
Week 4
18
Probability distributions
19
Working with distributions
20
Frequentist and Bayesian inference
21
Gaussian models
22
Running Gaussian models
Week 5
23
Introduction to regression
24
Regression models
25
Wrangling MCMC draws
Week 6
26
Interim summary
Week 7
27
Regression models: categorical predictors
28
Indexing categorical predictors
29
More than two levels
30
Frequentist statistics, the Null Ritual and
p
-values
Week 8
31
Binary outcomes
Week 9
32
Regression models: multiple predictors
33
Regression models: interactions
34
Regression models: interactions using indexing
References
Week 6
26
Interim summary
26
Interim summary
25
Wrangling MCMC draws
27
Regression models: categorical predictors