Skip to content
Materials for a workshop on using ggplot2 for data visualization, held at the 2019 Ecological Society of America Annual Meeting in Louisville, KY
R
Branch: master
Clone or download

Latest commit

Fetching latest commit…
Cannot retrieve the latest commit at this time.

Files

Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
additional_examples
data
intro_exercises
intro_full
.gitignore
README.md
bad_regression.pdf
bad_regression.png
bad_regression.tiff
cp_code.png
easy_emails.R
ggplot_exercises.R
ggplot_housekeeping.key
how_to_clone_new.png

README.md

ESA 2019 workshop on Data Visualization using R and ggplot2

Welcome to the GitHub repository data visualization using R and ggplot2.

Location and time:

  • Kentucky International Convention Center - L012
  • Sunday, August 11, 2019 08:00 AM - 11:30 AM

Organizers

Naupaka Zimmerman and Andrew Tredennick

Instructor

Naupaka Zimmerman


The R programming language is one of the most widely used tools for statistical analysis in the academic community. In addition to its large and ever-expanding suite of analytical tools, R is capable of producing publication quality figures that can easily be embedded into publications, presentations, and lab notebooks. In addition to its core functionality, the ability to do sophisticated visualization in R is enhanced by supplemental packages, most notably the ggplot2 library. In this workshop we move beyond basic plotting and highlight some of the more powerful approaches for visualization in R, focusing in particular on the functionality represented by the ggplot2 library (and associated packages). We will explain the 'grammar of graphics' that ggplot2 uses to build graphs and figures of all types. This workshop will also briefly cover the use of the dplyr and reshape2 packages, which are incredibly useful tools to format datasets before plotting and/or analysis. We will provide some example datasets beforehand but feel free to bring your own along with your laptop and a pre-installed copy of R and RStudio (available free online for all platforms at rstudio.com) to participate.


Pre workshop instructions

Important: There will be wifi in conference rooms this year, but plan on spending 10 minutes Saturday night (or even before arriving in Louisville) to download and install R and RStudio, to install the packages listed below, and to download a local copy of this repository (see instructions below). It takes a bit of bandwidth to do all this, so best not to rely on convention center wifi.

Installing R

If you don't already have R set up with a suitable code editor, we recommend downloading and installing R and RStudio Desktop for your platform. Once installed, open RStudio and install the following packages. Simply paste these commands into your prompt.

Installing packages

install.packages("ggplot2", dependencies = TRUE)
install.packages("ggthemes")
install.packages("tidyr")
install.packages("dplyr")

You will want to copy and paste the above into the "Console" of RStudio, like below. After copying and pasting, simply hit 'enter', and you will see a bunch of text letting you know that they are being installed.

Downloading code/data from this repository

Simply hit the Download ZIP button at the top-right of this page (scroll up to see it). If you're not sure where to save it, just download and unzip to your Desktop.

If you're having any trouble with these steps please drop me an email. I'll also strive to have local copies if you forget to install any of these tools.

See you Sunday!


License

Creative Commons Attribution 4.0 International License.

You can’t perform that action at this time.