Data simulation and randomization tests
Author(s): James S. Santangelo
University of Toronto
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- Faculty_Instructor_Notes.pdf(PDF | 68 KB)
- Faculty_Instructor_Notes.Rmd(RMD | 1 KB)
- Randomization-tests.pdf(PDF | 299 KB)
- Randomization-tests.Rmd(RMD | 26 KB)
- CommunityMatrix_Example.csv(CSV | 123 B )
- NEON_PlantPA_HARV_201707.csv(CSV | 330 KB)
- License terms
The lecture provides an overview of randomization tests as a way of testing hypotheses in ecology. Randomization tests are common in many disciplines and ecology and evolutionary biology is no different. The lecture begins by introducing randomization tests as an alternative to traditional parametric tests. It then briefly describes the process of simulating data in R since data simulation forms the backbone of randomization tests. This is followed by a walkthrough of a randomization tests on simulated data and the lecture ends with its application to real ecological data, using plant presence/absence data from the NEON network.
Cite this work
Researchers should cite this work as follows:
- Santangelo, J. S. (2019). Data simulation and randomization tests. NEON Faculty Mentoring Network, QUBES Educational Resources. doi:10.25334/Q4CT7P
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