Title
Data and R code supporting: Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Datasets
Published Date
2022-03-31
Authors
Author Contact
Wolfson, David W (wolfs064@umn.edu)
Type
Dataset
Statistical Computing Software Code
Other Dataset
Abstract
This repository contains data and R code (along with associated output from running the code) for fitting the example case studies reported in: Wolfson, D.W., D. E. Andersen, and J. R. Fieberg, Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Data. https://www.biorxiv.org/content/10.1101/2021.12.14.472652v1
Description
See readme file included with the set of files.
Funding information
Sponsorship:
Funding for this project was provided by Minnesota Environmental and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources (LCCMR) and the U.S. Geological Survey, Minnesota Cooperative Fish and Wildlife Research Unit.; John Fieberg received partial support from the Minnesota Agricultural Experimental Station.
Referenced by
Wolfson, D.W., Andersen, D.E., Fieberg, J.R. (2021) Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Datasets. bioRxiv.
License
Attribution-NonCommercial-ShareAlike 3.0 United States
Suggested Citation
Wolfson, David W; Andersen, David E; Fieberg, John R.
(2022). Data and R code supporting: Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Datasets.
Retrieved from the Data Repository for the University of Minnesota,
https://doi.org/10.13020/qbha-bs48.