The authors of Applied Statistics Using R have hand-picked a selection of weblinks to YouTube video lectures on topics from getting started with R and RStudio to Bayesian multilevel modelling.

Chapter 1: Introduction to R

• Getting started with R and RStudio

Chapter 2: Importing and working with data in R

• Loading Data Into R Software
• Import data from SPSS, Stata and Minitab into RStudio

Chapter 3: How does R work?

• R Programming for Beginners

Chapter 4: Data management

• Hands-on dplyr tutorial for faster data manipulation in R

Chapter 5: Data visualisation with ggplot2

• Learn R: An Introduction to ggplot2

Chapter 6: Descriptive statistics

• RStudio Basics | Performing Descriptive Statistics in RStudio using Dplyr

Chapter 7: Simple (bivariate) regression

• Simple Linear Regression in R

Chapter 8: Multiple linear regression

• Multiple Linear Regression in R

Chapter 9: Dummy-variable regression

• Dummy Variables or Indicator Variables in R

Chapter 10: Moderation/interaction analysis using regression

• Multiple Linear Regression with Interaction in R

Chapter 11: Logistic regression

• Logistic regression in R

Chapter 12: Multilevel and longitudinal analysis

• Multilevel models

Chapter 13: Factor analysis

• R – SEM – EFA Class Assignment

Chapter 14: Structural equation modelling

• R – SEM – Confirmatory Factor Analysis Class Assignment
• R – Full Structural Equation Model Example

Chapter 15: Bayesian statistics

• Introduction to Bayesian data analysis
• An introduction to Bayesian multilevel modelling with brms