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CERF 2019 Workshop:

The Next Step with R: Data Management, Graphics, and Functions 

Kimberly Cressman and Shannon Dunnigan

Date: Sunday, 3 November
Time: 8:00 AM – 4:00 PM
Regular: $75
Student: $45

About this Workshop:

This full day workshop is targeted to students and other scientists who are familiar with and have used R before but are interested in learning more about the language of R and how to use it in their daily workflow. Specifically, workshop participants will learn to automate daily tasks, manage their data in a reproducible framework (using tidyverse R packages dplyr and tidyr), make publication ready graphs (using R package ggplot2), and write their own functions during the course of this workshop. Participants will be working on their personal laptops live coding along with the instructors and working through individual and small group exercises. Anyone with questions about what exactly the workshop will cover or if they have the appropriate skillset can contact Kim Cressman or Shannon Dunnigan.

Materials from a similar workshop offered at the 2018 American Ornithological Society meeting can be found online. Participants should bring their laptops with R installed on it.

About the Presenter

Kim Cressman is the System-Wide Monitoring Program Coordinator at Grand Bay National Estuarine Research Reserve (NERR). She has been using R on monitoring data for over five years, and has been active in incorporating R into NERR system-wide efforts, such as developing tools to work with surface elevation table data; advising the development of Status Report templates for monitoring data; contributing to NERR-data-related R packages; posting educational “Plot of the Month” posts on SWMPrats.net; and leading R workshops for NERR staff and collaborators.

Shannon Dunnigan is the System-Wide Monitoring Program (SWMP) Manager at the Guana Tolomato Matanzas National Estuarine Research Reserve and has been an instructor at the University of North Florida for over five years. She has a love for large data sets and has been using R on monitoring data for the last 3 years; primarily for data wrangling, export, and the creation of data visualizations.