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r_workshop6 [2016/10/21 10:48]
vincent_fugere [QCBS R Workshops]
r_workshop6 [2019/02/08 09:17] (current)
mariehbrice [Workshop 6: Linear mixed effects models]
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 **Summary:​** Mixed effects models allow ecologists to overcome a number of limitations associated with traditional linear models. In this workshop, you will learn when it is important to use a mixed effects model to analyze your data. We will walk you through the steps to conduct a linear mixed model analysis, check its assumptions,​ report results, and visually represent your model in R. **Summary:​** Mixed effects models allow ecologists to overcome a number of limitations associated with traditional linear models. In this workshop, you will learn when it is important to use a mixed effects model to analyze your data. We will walk you through the steps to conduct a linear mixed model analysis, check its assumptions,​ report results, and visually represent your model in R.
  
-Link to associated Prezi: [[http://​prezi.com/​5syafj73u0qe/​|Prezi]]+**Link to new [[https://​qcbsrworkshops.github.io/​Workshops/​workshop06/​workshop06-en/​workshop06-en.html|Rmarkdown presentation]]** 
 + 
 +Link to old [[http://​prezi.com/​5syafj73u0qe/​|Prezi ​presentation]]
  
 Download the R script and data for this lesson: ​ Download the R script and data for this lesson: ​
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   -[[http://​qcbs.ca/​wiki/​_media/​lmm_e.r| R Code]]   -[[http://​qcbs.ca/​wiki/​_media/​lmm_e.r| R Code]]
  
 +In addition, you can look at [[lmm.workshop | a more up-to-date and detailed presentation mixed models]].
  
 ===== Learning Objectives ===== ===== Learning Objectives =====