Introduction

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.

Objectives

  • Understand the basic Rstudio ecosystem and R programming language syntax.
  • Use R for data visualization.
  • Integrate geospatial data in the analysis and visualization.
  • Get a crash course in reproducible research.
  • Introduce some concepts from network theory.

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:

Requisites


Tentative schedule (all times in GMT-4)

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

Registration:

To register the workshop, follow this link


Data

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").