University of Nottingham

May 29-30, 2019

9:00 am - 4:30 pm

Instructors: Mathias Barløse, Punam Amratia

Helpers: Micheal Wilson, Micheal Pound, Andrew Warry


Deadline for application is the 20th of May, 2019. Chosen participants will be notified by the 21th of May, 2019 at the latest

There are 25 seats available. Participants on a first come first served basis. You can register by using the link below.

To enroll please click: link

Space is limited and it will likely fill quickly.

General Information

Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: The University of Nottingham, Teaching and Learning Building, Room E07, University Park, Nottingham, NG7 2NR. Get directions with OpenStreetMap or Google Maps.

When: May 29-30, 2019. Add to your Google Calendar.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Code of Conduct: Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.

Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.

Contact: Please email or for more information.


Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Day 1

Before Pre-workshop survey
08:30 Help for laptop setting up (only if needed)
09:00 Introduction and presentation
09:30 Introduction to R and RStudio
10:30 Morning break
10:45 Data Structures
11:45 Seeking help
12:00 Lunch break
13:00 Vectorization
13:30 Subsetting Data
14:30 Afternoon break
14:45 Exploring data Frames
15:15 Dataframe Manipulation with dplyr
16:00 Wrap-up
16:30 END

Day 2

09:00 Creating Publication-Quality Graphics with ggplot2
10:20 Morning break
10:35 Writing Data
11:00 Control Flow
12:00 Lunch break
13:00 Project Management With RStudio
13:30 Functions Explained
14:30 Afternoon break
14:45 Dataframe Manipulation with tidyr
16:00 Wrap-up
16:30 Post-workshop Survey
16:40 END

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


R for Reproducible Scientific Analysis

  • Introduction to R and RStudio
  • Data Structures
  • Exploring Data Frames
  • Dataframe Manipulation with dplyr
  • Creating Publication-Quality Graphics with ggplot2
  • Reference...


To participate in a Software Carpentry workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.


R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.


Video Tutorial

Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select "Run as administrator" instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.


Video Tutorial

Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.


You can download the binary files for your distribution from CRAN. Or you can use your package manager (e.g. for Debian/Ubuntu run sudo apt-get install r-base and for Fedora run sudo dnf install R). Also, please install the RStudio IDE.