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General Information
This two-days introductory workshop focuses on boosting your data analysis and visualization expertise with R programming language.
The workshop is based on the R package Tidyverse (https://www.tidyverse.org/) and the R graphical user interface (GUI) RStudio (https://rstudio.com/). The tutors will guide you from loading your data in R, choosing a nice tidy data format, through data transformations, statistical modelling and cool visualizations, to communicating results in a reproducible report. We will proceed through a series of exercises.
At the end of the workshop, you will master publication-ready visualizations with ggplot2, data transformations and summarizing with dplyr and tidyr, working with dates, character strings, untidy data formats, generating reproducible reports with R Markdown, reading data with fast readr functions, and iterate through them with purrr package.
The course is highly inspired by the Garrett Grolemund’s course Master The Tidyverse. Due to space capacity, the workshop will be strictly limited to 20 participants. The course is offered for free. Every participant gets a collection of RStudio cheat-sheets.
Plan to attend both days of this course face-to-face on the JAX Bar Harbor campus.
Who:
The course is aimed at students and other researchers.
Basic R programming skills will be an advantage but true beginners are welcome as well.
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).
Accessibility:
We are committed to making this workshop
accessible to everybody. For workshops at a physical location, the workshop organizers have checked that:
The room is wheelchair / scooter accessible.
Accessible restrooms are available.
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.
R is a programming language
that is especially powerful for data exploration, visualization, and
statistical analysis. To interact with R, we use
RStudio.
If you will use a JAX-owned computer, download both from the JAX Self Service
app (Mac) or Software Center (Windows) on that computer. Otherwise, follow the
instructions below.
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.
Instructions for R installation on various Linux platforms (debian,
fedora, redhat, and ubuntu) can be found at
<https://cran.r-project.org/bin/linux/>. These will instruct you to
use your package manager (e.g. for Fedora run
sudo dnf install R and for Debian/Ubuntu, add a ppa
repository and then run sudo apt-get install r-base).
Also, please install the
RStudio IDE.