University of Connecticut

January 10-11, 2019

8:30 AM - 4.30 PM

Instructors: Timothy Moore, James Mickley, Cera Fisher, Artemis Louyakis, Jeremy Teitelbaum

Helpers: Eliza Grames, Dipanjana Dalui, Alex Trouern-Trend, Pariksheet Nanda

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, advanced undergraduates, professors, and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Room #127, School of Business(BUSN), 2100 Hillside Rd, Storrs, CT 06269. Get directions with OpenStreetMap or Google Maps. Parking for non UConn folks is best at South Garage

When: January 10-11, 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 to install software on. They should have a few specific software packages installed (listed below). They are also required to abide by Software Carpentry's Code of Conduct

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 timothy.e.moore@uconn.edu , james.mickley@uconn.edu , cera.fisher@uconn.edu , Artemis.Louyakis@uconn.edu or jeremy.teitelbaum@uconn.edu for more information.


Surveys

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

Pre-workshop Survey

Post-workshop Survey


Schedule

Day 1

Before Pre-workshop survey
08:30 Intro to Programming with R - Timothy Moore
10:30 Coffee
12:00 Lunch break
13:00 Version control with Git - Jeremy Teitelbaum
14:30 Coffee
16:00 Wrap-up
16:30 END

Day 2

09:00 Plotting in R - Dyanna Louyakis
10:30 Coffee
10:45 Programming with R cont. - James Mickley
12:00 Lunch break
13:00 Manipulating Data & Producing Reports in R - Cera Fisher
14:30 Coffee
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.


Syllabus

Programming in R

  • Introduction to R
  • Working in RStudio
  • Getting help
  • Working with vectors and data frames
  • Reading in and writing out data
  • Subsetting data
  • Creating and using functions
  • Loops and conditional statements
  • Plotting and creating publication-quality graphics with ggplot2
  • Subsetting and reshaping data with dplyr and tidyr
  • Producing reports and notebooks with knitr
  • Writing good software
  • Reference...

Version Control with Git

  • Creating a repository
  • Recording changes to files: add, commit, ...
  • Viewing changes: status, diff, ...
  • Ignoring files
  • Working on the web: clone, pull, push, ...
  • Resolving conflicts
  • Using Git in R Studio
  • Open licenses
  • Where to host work, and why
  • Reference...

 
 
 
 
 

Resources

First and foremost, we recommend the lessons from Software Carpentry that we followed for this course. We've added links to those lessons in the syllabus above.

Downloadable etherpad notes: HTML, PDF, Word Doc.

Programming & Data Analysis with R

Using Git and Github


Setup

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.

Git

Git is a version control system that lets you track who made changes to what when and has options for easily updating a shared or public version of your code on github.com. You will need a supported web browser.

You will need an account at github.com for parts of the Git lesson. Basic GitHub accounts are free. We encourage you to create a GitHub account if you don't have one already. Please consider what personal information you'd like to reveal. For example, you may want to review these instructions for keeping your email address private provided at GitHub.

Github for Education offers a free 2-year plan for students and educators that allows you to have private repositories. You can apply for an education plan here

Alternatively, you can use UConn's GitHub at github.uconn.edu. Just login with your netID, and you will have unlimited free public and private repositories. However, you cannot collaborate on those repositories with those outside UConn.

Windows

Video Tutorial
  1. Download the Git for Windows installer.
  2. Run the installer and follow the steps below:
    1. Click on "Next" four times (two times if you've previously installed Git). You don't need to change anything in the Information, location, components, and start menu screens.
    2. Select “Use the nano editor by default” and click on “Next”.
    3. Keep "Use Git from the Windows Command Prompt" selected and click on "Next". If you forgot to do this programs that you need for the workshop will not work properly. If this happens rerun the installer and select the appropriate option.
    4. Click on "Next".
    5. Keep "Checkout Windows-style, commit Unix-style line endings" selected and click on "Next".
    6. Select "Use Windows' default console window" and click on "Next".
    7. Click on "Install".
    8. Click on "Finish".
  3. If your "HOME" environment variable is not set (or you don't know what this is):
    1. Open command prompt (Open Start Menu then type cmd and press [Enter])
    2. Type the following line into the command prompt window exactly as shown:

      setx HOME "%USERPROFILE%"

    3. Press [Enter], you should see SUCCESS: Specified value was saved.
    4. Quit command prompt by typing exit then pressing [Enter]

This will provide you with both Git and Bash in the Git Bash program.

macOS

Video Tutorial

For OS X 10.9 and higher, install Git for Mac by downloading and running the most recent "mavericks" installer from this list. Because this installer is not signed by the developer, you may have to right click (control click) on the .pkg file, click Open, and click Open on the pop up window. After installing Git, there will not be anything in your /Applications folder, as Git is a command line program. For older versions of OS X (10.5-10.8) use the most recent available installer labelled "snow-leopard" available here.

Linux

If Git is not already available on your machine you can try to install it via your distro's package manager. For Debian/Ubuntu run sudo apt-get install git and for Fedora run sudo dnf install git.

Text Editor

When you're writing code, it's nice to have a text editor that is optimized for writing code, with features like automatic color-coding of key words. The default text editor on macOS and Linux is usually set to Vim, which is not famous for being intuitive. If you accidentally find yourself stuck in it, hit the Esc key, followed by :+Q+! (colon, lower-case 'q', exclamation mark), then hitting Return to return to the shell.

Windows

nano is a basic editor and the default that instructors use in the workshop. It is installed along with Git.

Others editors that you can use are Notepad++ or Sublime Text. Be aware that you must add its installation directory to your system path. Please ask your instructor to help you do this.

macOS

nano is a basic editor and the default that instructors use in the workshop. See the Git installation video tutorial for an example on how to open nano. It should be pre-installed.

Others editors that you can use are BBEdit or Sublime Text.

Linux

nano is a basic editor and the default that instructors use in the workshop. It should be pre-installed.

Others editors that you can use are Gedit, Kate or Sublime Text.

R

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

Windows

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.

macOS

Video Tutorial

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

Linux

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.