VUW Psych 447: Methods in R

Course basics

Goals: (1) Download Rstudio (2) Get Git (3) Teach you the essentials of Rmarkdown (4) Integrate (1)-(3).

Coding basics

Visualisation

Consolidation of skills

Elements of a linear model

An introduction to simulation

Multiple regression (ANOVA, ANOVCA, MANOVA)

Generalised linear models

Estimating binary responses, counts, rates, overdispersion, and zero-inflation

Ordinal responses, monotonic predictors, mediation, and group-level intercepts

Mixed-effects/Multi-level models (continued), with excursion into metanalysis

Causal inference, confounding, and directed acylical graphs (DAGS)

Missing data, measurement error, and course wrap-up

Week 1 Workbook

Week 2 Workbook Solutions

Week 3 Workbook Solutions

Week 4 solutions

Week 5 workbook solutions

Week 6 workbook and solutions

Week 7 workbook and solutions

Week 8 workbook and solutions

Week 9 workbook and solutions

Week 10 workbook and solutions

Week 11 workbook and solutions

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VUW Psych 447: Methods in R

Corrections

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Text and figures are licensed under Creative Commons Attribution CC BY-NC-SA 4.0. Source code is available at https://go-bayes.github.io/psych-447/, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".