Part1 Welcome

Dates, time & location

Dates: May 12th and 14th, 2026
Time: 9:30-13:00
Location: IDIBAPS

Instructors

Senior consultant and Manager, Discovery & Translational Science consulting at Clarivate.

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 graphic 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!

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
Text Fine-tuning
Data filtering and wrangling: select, filter, rename
Dotplots
Colors
Facets
Additional graphs
More ggplots
More advanced data manipulation
Interactive plots
Selected non-ggplot packages (for heatmap and volcano plots)

R logo posit logo rstudio logo tidyverse logo

R for beginners: Introduction to data visualization with R and ggplot2: from data to publication-quality figures