Support

Support Options

  • Knowledge Base

    Find information on common questions and issues.

  • Support Messages

    Check on the status of your correspondences with members of the QUBES team.

Contact Us

About you
About the problem

Data simulation and randomization tests

By James S. Santangelo

University of Toronto

A participatory live-coding lesson on simulating data and performing randomization tests on ecological data in R.

Listed in Teaching Materials | resource by group NEON Faculty Mentoring Network

Additional materials available

Version 1.0 - published on 03 Jan 2019 doi:10.25334/Q4CT7P - cite this

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

randTestPlot.jpg

Description

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.

Contents ( Show bundle contents ) Bundle

Cite this work

Researchers should cite this work as follows:

NEON Faculty Mentoring Network

NEON Faculty Mentoring Network group image

When watching a resource, you will be notified when a new version is released.