Modeling tools and techniques using R

Workshops

In this workshop, we will present an overview of different modeling approaches that are available in the R language and environment for statistical and graphical computing. We will focus on using a hands-on approach that explores different aspects of statistical modeling ranging from exploratory data analysis to model development, validation, and prediction.

Emerson Del Ponte https://twitter.com/edelponte
06-02-2019

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Workshop taught by Esker Lab (Penn State University) at Plant Health 2019
Sat, Aug 3, 2019 - 8:00 AM — 12:00 PM, Cleveland, Ohio

Abstract

In this workshop, we will present an overview of different modeling approaches that are available in the R language and environment for statistical and graphical computing. We will focus on using a hands-on approach that explores different aspects of statistical modeling ranging from exploratory data analysis to model development, validation, and prediction. The workshop will integrate different tools that are available in R with specific focus on linear models (lm), nonlinear minimization (nlm), generalized linear models (glm), and dose-response curve fitting with tools from the drc package. We will illustrate concepts using agricultural examples. Some knowledge of R will be helpful but background information will be provided to help guide new users.

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Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/openplantpathology/OpenPlantPathology, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".