This webinar version of Part 2 builds upon information presented in Part 1 of this webinar series. This webinar workshop will have three sub-parts: a) Data Manipulation and Analysis, b) Data Visualization and Graphics, and c) Starting your own R project. Specifically, you will learn how to use the working directory, read in data, more advanced data manipulation, statistical analysis, subset data, install packages, plot data and create publication ready graphics, and how to get started with your own R project. Exercises will provide training in the newest tools from the tidyverse, such as dplyr and ggplot2. Participants are expected to be able to use their own computer during the workshop, with an up-to-date version of R and RStudio installed. To follow along in our exercises, participants are recommended to find a location where they can view the webinar on one screen and use another computer screen to run R. A conference room or classroom where you can display the webinar is ideal, although a computer with two screens would also work great.
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Presenters
Dr. Sydney E. Everhart
University of Nebraska | Dr. Sydney Everhart is an Associate Professor and Quantitative Ecologist in the Department of Plant Pathology. Dr. Everhart joined UNL in 2014 with a split appointment of research (80%) and teaching (20%), and has established an internationally recognized research program to apply population genetic/genomic approaches to study the epidemiology and evolution of fungal plant pathogens important in the U.S., including Sclerotinia sclerotiorum and Rhizoctonia solani. She currently has an active molecular genetics and computational biology lab group.
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Nikita Gambhir
University of Nebraska | Nikita Gambhir is pursuing her doctorate degree in Plant Pathology at the University of Nebraska-Lincoln. Her research is focused on understanding the evolution of fungicide resistance in Sclerotinia sclerotiorum and Rhizoctonia zeae. Broadly, she wants to decode the dimensions of pathogen evolution, which could significantly improve disease management. Apart from research, Nikita enjoys teaching and has co-taught several workshops on the statistical software R at the regional, national, and international platforms.
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Katie Gold
Cornell University | Dr. Gold is a newly appointed Assistant Professor of Grape Disease Ecology and Epidemiology at Cornell University where she holds the primary research and extension responsibilities for grape disease management for NY state. Gold holds a visiting faculty fellowship at the Jet Propulsion Laboratory and is an international expert on plant disease remote sensing. Gold’s research combines precision agriculture, remote sensing, data science, and fundamental plant pathology to develop innovative disease detection and management tools that support the profitability and sustainability of stakeholders. Her research primarily focuses on the development in-situ and imaging spectroscopy for the detection, differentiation, and monitoring of disease in specialty crops.
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