Here we collect and link to a series of resources that we have tested and validated.

They are all freely accessible resources unless stated otherwise.

Table of contents:

• Hands-On Programming with R

  • Basics of R programming

• R for Data Science

  • discovering the tidyverse for data cleaning, data manipulation, data visualization and reporting with Quarto (reproducible reports)

• Mastering Shiny

  • Creating apps that automatically run code from user input (the user does not need to write code)

  • This is very useful for streamlining applications where users are not familiar with coding (students, lab technicians, customers…)

Hands-On Programming with R

• Installing and updating R and RStudio

• Understanding the logic behind programming with R

  • basics

  • packages and help

  • debugging

• Mastering the concept of Objects, modifying values, playing with environments

• Programing functions

• Working with conditions (if statement)

• Programming loops

R for Data Science

• You will be able to do most manipulations of data tables to get them ready for visualization.

• You will also learn how to create functional plots using ggplot2

• Finally, you will lbe able to use Quarto, a powerful tool to efficiently communicate your code and its output in many formats in a reproducible way. Formats include Word documents, PDFs and powerpoint presentations.

• You will be able to adequately record your thoughts and work process using Quarto, which allows to mix code and prose.