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Linear Models and Linear Mixed Effects in R: Tutorial 1

Author(s): Bodo Winter

University of California, Merced

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Summary:
The first of two tutorials that introduce you to linear and linear mixed models.

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Version 1.0 - published on 20 Oct 2018 doi:10.25334/Q40X45 - cite this

Keywords

  1. statistics
  2. mathematics
  3. R
  4. data analysis
  5. concepts
  6. stats
  7. regression
  8. mixed models
  9. linear models
  10. fixed effects
  11. Resources @ QUBES - Teaching & Reference

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Description

Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce you to these models. The tutorials are decidedly conceptual and omit a lot of the more involved mathematical stuff. The focus is on understanding what these models are doing ... and then we’ll spend most of the time applying this understanding. The idea is to bootstrap your knowledge as quickly as possible so that you can start with your own analyses and then turn to more technical texts if needed.


You’ll need about 1 hour to complete this tutorial (maybe a bit more).

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