This workshop will be an introduction to the R programming language. It will cover R syntax (e.g., how to read and write R code), types of variables and objects, functions, basic data management (e.g., loading, referencing, manipulation, transformation, and subsets), basic descriptive statistics, and working with R packages like those included in the "tidyverse" for data summary and plotting. This session will use long-term limnological data for demonstrations and hands-on examples.
Presenters Anna Haws is the Aquatic Invasive Species Research Specialist with the NYS Water Resources Institute at Cornell University. She holds a PhD in Fish and Wildlife Biology and Management from the SUNY College of Environmental Science and Forestry. Anna often uses R for data visualization and analysis in her work on invasive species, some examples include fisheries life history analysis, wildlife disease modelling, and summarizing big data associated with New York’s Watercraft Inspection Steward Program.Dan Stich is an Associate Professor and Biological Field Station Researcher at SUNY Oneonta, where he teaches undergraduate and graduate courses in biometry, lake management, and ichthyology. He works extensively with R in research and teaching, and maintains multiple R packages as well as his very own, poorly written, unpublished OER textbook, The Worst Stats Text eveR.
Anna Haws is the Aquatic Invasive Species Research Specialist with the NYS Water Resources Institute at Cornell University. She holds a PhD in Fish and Wildlife Biology and Management from the SUNY College of Environmental Science and Forestry. Anna often uses R for data visualization and analysis in her work on invasive species, some examples include fisheries life history analysis, wildlife disease modelling, and summarizing big data associated with New York’s Watercraft Inspection Steward Program.
Dan Stich is an Associate Professor and Biological Field Station Researcher at SUNY Oneonta, where he teaches undergraduate and graduate courses in biometry, lake management, and ichthyology. He works extensively with R in research and teaching, and maintains multiple R packages as well as his very own, poorly written, unpublished OER textbook, The Worst Stats Text eveR.