Instructors:
Joachim Hein, Hadrien Gourlé, Dmytro Perepolkin
Helpers:
Ullrika Sahlin
Introduction to data handling using R tidyverse in a modern software environment
What:
The aim of Software Carpentry is to teach researchers the fundamental skills that will help them be more productive
while producing work of higher quality. During this two day workshop, students learn how to automate tasks using
the Unix shell, how to track and share work using version control in Git, and data management and visualisation in R.
This is not a full Software Carpentry, but an R tidyverse workshop based on Software Carpentry material.
Who:
PhD students as well as more senior researchers.
You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where:
Rooms V:O2, V:S2 and V:P2, V-huset, LTH, John Ericssons väg 1, 223 63 Lund, Sweden.
Get directions with
OpenStreetMap
or
Google Maps.
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). The laptop needs to be able to access the internet via Eduroam. Internet access via Eduroam needs to be activated at the participant's home institution prior to attending the course. Participants 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:
The room is wheelchair / scooter accessible.
Accessible restrooms are available.
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 that.
Registration is open as October the 3rd 2019. Workshop is limited to 35 people.
Sponsors
This workshop is possible thanks to the collaboration of the following entities, which allow us to do this under our working schedule and contribute to the associated costs.
Elegant data visualisations with ggplot2 (continued)
12:30
Lunch break
13:30
Data manipulation with dplyr
14:45
Coffee break
15:00
Easily arrange data with tidyr
16:00
Pair excercises
17:00
Wrap-up
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
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.
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.
Select "Use the nano editor by default" and click on "Next".
Keep "Git from the command line and also from 3rd-party software" 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.
Click on "Next".
Select "Use the native Windows Secure Channel library", and click "Next".
Keep "Checkout Windows-style, commit Unix-style line endings" selected and click on "Next".
Select "Use Windows' default console window" and click on "Next".
Leave all three items selected, and click on "Next".
Do not select the experimental option. Click "Install".
Click on "Finish".
If your "HOME" environment variable is not set (or you don't know what this is):
Open command prompt (Open Start Menu then type cmd and press Enter)
Type the following line into the command prompt window exactly as shown:
setx HOME "%USERPROFILE%"
Press Enter, you should see SUCCESS: Specified value was saved.
Quit command prompt by typing exit then pressing Enter
This will provide you with both Git and Bash in the Git Bash program.
The default shell in all versions of macOS is Bash, so no
need to install anything. You access Bash from the Terminal
(found in
/Applications/Utilities).
See the Git installation video tutorial
for an example on how to open the Terminal.
You may want to keep
Terminal in your dock for this workshop.
The default shell is usually Bash, but if your
machine is set up differently you can run it by opening a
terminal and typing bash. There is no need to
install anything.
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.
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.
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.
R
R is a programming language
that is especially powerful for data exploration, visualization, and
statistical analysis. To interact with R, we use
RStudio.
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.
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.