Part1 Welcome

Dates, time & location

  • Dates: October 21st and 30th, 2025
  • Time: 9:30-13:00
  • Location: IDIBAPS

Instructors

Sarah Bonnin

Manager, Discovery & Translational Science consulting at Clarivate.

Leone Albinati

PhD student at the Beekman lab at CRG

Prerequisites

The workshop is open to anyone with no (or little) prior programming experience.

Attendees must however feel comfortable enough with their own computer to install programs (and debug their installation, when needed) and locate folders and files.

Learning objectives

Attendees will:

  • Gain a high-level understanding of data import, manipulation and graphing with R and RStudio.
  • Be able to produce and save a variety of publication-quality graphs (among others: boxplots, scatter plots, barplots).

Learning outcomes

  • Identify and use RStudio panels (console, scripts, folders and files panels).
  • Locate useful resources to learn more and know where to seek help.
  • Import data from files into R.
  • Manipulate and prepare (filter, select) data.
  • Produce graphs:
    • Create a plot from “recipes”.
    • Change basic parameters (color, font size, point shape, title, etc.).
    • Export high-quality graphs in different formats (pdf, jpeg, png).

What this workshop is NOT:

  • A programming class.
  • A design class.

What this workshop is:

  • An introduction to R and to RStudio software.
  • An introduction to data visualization.
  • A teaser to - hopefully - make you want to learn how to program in R!

Tentative agenda

Day 1 & 2: 9:30-13:00.
~15-20’ break around 11:15-11:30.

  • Welcome and set up
  • Introduction to R and RStudio (Posit)
  • Paths and directories
  • R basics
  • Data import
  • ggplot2:
    • Introduction, concept
    • Scatter plots
    • Barplots
    • Boxplots
    • Fine-tuning font
    • Colors
    • Faceting
  • Data filtering and wrangling:
    • select
    • filter
    • rename
  • More ggplots
  • Interactive plots with {plotly}
  • More advanced data manipulation:
    • the pipe operator
    • from wide to long format
  • Heatmaps with {pheatmap}
  • Demo volcano plots

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