Chapter 0: Getting started

This chapter is a quick introduction to how the tutorials work. It also builds your own interactive session which is essential to start.

1Welcome to the DCU R tutorials

2Exercise: Start your session

3Your final answer?

About this course

This tutorial uses contents and examples from the following free online books. They are perfect for beginners, feel free to check them out for further information: R for Data Science by Wickham and Grolemund (2017), A ModernDive into R and the tidyverse by Ismay and Kim (2019), Learning statistics with R by Navarro (2019), Introduction to Open Data Science by the Ocean Health Index Team (2019), Getting Used to R, RStudio, and R Markdown by Kennedy (2019) and Statistical Thinking for the 21st Century by Poldrack (2020).

About me

Ph.D in Social and Experimental Psychology from the University Grenoble-Alpes, France, my researches are focusing on understanding psycho-physiological responses ‘in the wild’. Now Assistant Professor of Business Research Methods at Dublin City University, my domain of expertise relies on multivariate time series analysis and trend extraction for supervised or unsupervised machine learning classification.