In this workshop we will cover basics of R for animal health
research. Some concepts we cover in this workshop includes data
management, visualization, introduction to analytical methods and
geographical information systems. At the end of the workshop, the
participants will have a basic understanding of R and geographical
information systems. For this workshop we will be using multiple data
sets with examples for animal health research.
No software needs to be installed for this workshop, all the exercises
will be done in a web based platform for cloud computing. Please follow
these instructions for setting up your
posit.cloud account. All the concepts covered in this workshop are
directly transferable to Rstudio for people that prefer to run the
exercises locally.
At the end of this workshop you will be able to use your own R to process your data and generate visualizations such as the following:
May 16, 2023 | May 17, 2023 | May 18, 2023 | |
---|---|---|---|
Data manipulation | Data visualization | Risk Assessment and SNA | |
9:00-9:30 | Introduction to R studio | Graphics in R I | Network analysis I |
9:30-10:30 | R syntax | Graphics in R II | Network analysis II |
10:30-10:50 | Coffee break | Coffee break | Coffee break |
10:50-12:00 | Data reduction | Spatial Data | Network analysis III |
12:00-13:00 | Lunch | Lunch | Lunch |
13:00-14:00 | Data manupulation | Spatial Data II | Risk assessment I |
14:00-14:20 | Coffee break | Coffee break | Coffee break |
14:20-15:00 | Joining data | Cartography | Risk assessment II |
The data used for this workshop is contained in the package
STNet
. To install STNet
we need the package
devtools
and use the command
devtools::install_github("spablotemporal/STNet")
.
This course has been developed with contributions from: Jose Pablo Gomez-Vazquez,
Jerome
Baron Alejandro Zaldivar, and Beatriz
Martinez-Lopez.
Feel free to use these training materials for your own research and
teaching. When using the materials we would appreciate using the proper
credits. If you would be interested in a training session, please
contact: jpgo@ucdavis.edu