Plant Health 2019

Modeling tools and techniques using R

A hands-on statistical modeling workshop using R, exploring tools for data analysis, model development, validation, and prediction.

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Content

This introduction was developed by Neil McRoberts and Paul Esker, and presented at APS 2015 and ISPP 2018 Workshops. Basic introduction …
12 min read R

Background Correlation analysis is helpful to identify associations between different variables (measurements). For databases with …
4 min read R

Background This example is focued on modeling via linear regression. We will illustrate the concepts using an example, with particular …
10 min read R

Background When building a model, there are different methods we can take to construct it, ranging from manual to automated. There are …
17 min read R

Background Given the background and tools presented in linear regression, we will not extend the modeling approach to include …
19 min read R

Background In many studies, for example if one looks the relationship between nitrogen and yield for many cereal crops, the …
9 min read R

Background Many times, we are interested in estimating the relationship between different variables that has a general form described …
8 min read R

Background Nonlinear regression is an important modeling tool for looking at more compliated biological, physiological, etc., …
6 min read R

Background This example was developed by Julie Baniszewski, a PhD student in the Department of Entomology at Penn State. Julie …
22 min read R

Here are some useful online references that related to topics discussed during the workshop. Modeling …
1 min read R

Time and directions

  • Room 15 - Huntington Convention Center, Cleveland, OH
  • Saturday, August 03 - 08:00AM to 12:00PM

Organizers

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Felipe Dalla Lana

Department of Plant Pathology

Ohio State University

Workshop Assistant

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Paul Esker

Department of Plant Pathology and Environmental Microbiology

Penn State University

Workshop Presenter