Introduction to R – Data manipulation and visualization

Renato Alves   2021-02-23   Comments Off on Introduction to R – Data manipulation and visualization

Date/Time
Date(s) - 2021-02-23 - 2021-02-26
10:00 CET - 13:00 CET

Location
Online

Categories

Prerequisites

This is an introduction to R designed for participants with no programming experience.

Content

In this course you will learn how to read and manipulate data using basic R and tidyverse packages followed by data visualization with ggplot2.

  • Basic information about syntax for the R programming language
  • The RStudio interface
  • Importing CSV files
  • Structure of data frame objects, categorical variables (i.e. factors), basic data manipulation (adding/removing rows and columns)
  • Calculating summary statistics
  • Introduction to plotting

Instructors & Helpers

Constantin Ahlmann-Eltze, Huber Group, EMBL Heidelberg, Germany.
Wasiu Akanni, Bork Group, EMBL Heidelberg, Germany.
Renato Alves, Bio-IT, de.NBI, Gibson Team, EMBL Heidelberg, Germany.
Nicolas Descostes, EMBL Rome Bioinformatics Services, Italy.
Sarah Kaspar, CSDA, EMBL Heidelberg, Germany
Mike Smith, Bork/Huber/Korbel/Zeller Group/Team, de.NBI, EMBL Heidelberg, Germany.
Jakob Wirbel, Zeller Team, EMBL Heidelberg, Germany.

Schedule

The course is distributed across four mornings:

Tuesday, 23. February 2021, 10:00 – 13:00 CET
Wednesday, 24. February 2021, 10:00 – 13:00 CET
Thursday, 25. February 2021, 10:00 – 13:00 CET
Friday, 26. February 2021, 10:00 – 13:00 CET

Affiliation

This Bio-IT course is sponsored by de.NBI, the German Network for Bioinformatics Infrastructure and is the result of a collaboration between EMBL Rome Bioinformatics Services and the Gibson Team

de.NBI logo

Bookings

This event is fully booked.

About Renato Alves

I am a Community and Project Manager for Bio-IT and Training Coordinator for ELIXIR Germany. Find me at EMBL-HD office 116 or at Bio-IT drop-in Sessions on Tuesdays 10:00-12:00 at the EMBL staff lounge (or online). Contact Details: email - renato.alves@embl.de, Twitter - https://twitter.com/renato_alvs, GitHub - https://github.com/unode, GitLab - https://gitlab.com/unode, ORCID - https://orcid.org/0000-0002-7212-0234