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Ever wondered how you can create more dynamic and reproducible academic reports?
Join us for a carpentry-style R Markdown workshop for scientific authoring. Participants will build on using their R data analysis skills in R Studio by learning how to create R Markdown documents that combine analysis and narrative. R Markdown makes it possible to work on a whole research project from within R Studio in an easily reproducible manner: from data upload, cleaning, and analysis, to writing your paper, adding figures, citations and bibliography with proper formatting. R markdown allows you to output your work as .html, .pdf, .docx (among many other formats) to publish your work as a website, paper, etc. This workshop will involve lecture and demos alternating with hands-on exercises, so by the end of the workshop you will have “authored” a short paper of your own with data and narrative we provide.
The course is aimed at graduate students, faculty, and other researchers.
We recommend that you have previous knowledge or familiarity of R and Rstudio
for this workshop. We will have a demo using Github during the workshop so while not necessary, it may be
beneficial to create a Github
account and Rpubs account prior to attending the workshop.
Where: This training will take place online.
The instructors will provide you with the information you will need to connect to this meeting.
Participants must have access to a computer 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).
We are dedicated to providing a positive and accessible learning environment for all. Please
notify the instructors in advance of the workshop if you require any accommodations or if there is
anything we can do to make this workshop more accessible to you.
To participate in a
you will need access to the software described below.
In addition, you will need an up-to-date web browser.
Here is the Data
Folder for our workshop. Download and unzip this file to your desktop before the workshop.
Install the videoconferencing client
If you haven't used Zoom before, go to the
to download and install the Zoom client for your computer.
Set up your workspace
Like other Carpentries workshops,
you will be learning by "coding along" with the Instructors.
To do this, you will need to have both the window for the tool
you will be learning about (a terminal, RStudio, your web browser, etc..)
and the window for the Zoom video conference client open.
In order to see both at once,
we recommend using one of the following set up options:
Two monitors: If you have two monitors,
plan to have the tool you are learing up on one monitor and
the video conferencing software on the other.
Two devices: If you don't have two monitors,
do you have another device (tablet, smartphone) with a medium to large
sized screen? If so, try using the smaller device as your video
conference connection and your larger device (laptop or desktop)
to follow along with the tool you will be learning about.
Divide your screen: If you only have one device
and one screen, practice having two windows
(the video conference program and one of the tools you will be using
at the workshop) open together.
How can you best fit both on your screen?
Will it work better for you to toggle between them
using a keyboard shortcut?
Try it out in advance to decide what will work best for you.
This blog post includes detailed information on how to set up your screen to follow along during the workshop.
The setup instructions for the Data Carpentry Social Sciences
workshops (with R) can be found below
R is a programming language
that is especially powerful for data exploration, visualization, and
statistical analysis. To interact with R, we use
Install R by downloading and running
this .exe file
Also, please install the
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