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-- DONE -- add links to .pdf files for slides to .qmd:
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402-week-20-GLMM.pdf
402-week-20-GLMM_6pp.pdf
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robayedavies committed Feb 9, 2024
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11 changes: 10 additions & 1 deletion 04-glmm.qmd
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Expand Up @@ -48,7 +48,16 @@ I have provided a collection of materials you can use. Here, I explain what they
- [Part 2](https://dtu-panopto.lancs.ac.uk/Panopto/Pages/Viewer.aspx?id=93c898ce-8009-47c6-ad43-acec0130b2ea) -- about 16 minutes
- [Part 3](https://dtu-panopto.lancs.ac.uk/Panopto/Pages/Viewer.aspx?id=078770df-47d0-4a25-9fdd-acec0135f5ea) -- about 19 minutes

1.2. I suggest you watch the recordings then read the rest of this chapter. The lectures provide a summary of the main points.
1.2. I suggest you watch the recordings then read the rest of this chapter.

- The lectures provide a summary of the main points.

1.3. You can download the lecture slides in two different versions:

- [402-week-20-GLMM.pdf](files/402-week-20-GLMM.pdf): exactly as delivered [700 KB];
- [402-week-20-GLMM_6pp.pdf](files/402-week-20-GLMM_6pp.pdf): printable version, six-slides-per-page [850 KB].

The `GLMM.pdf` version is the version delivered for the lecture recordings. To make the slides easier to download, I produced a six-slide-per-page version, `GLMM_6pp.pdf`. This should be easier to download and print out if that is what you want to do.

**2. Chapter: 04-glmm**

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11 changes: 10 additions & 1 deletion docs/04-glmm.html
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Expand Up @@ -368,7 +368,16 @@ <h2 data-number="6.4" class="anchored" data-anchor-id="sec-glmm-study-guide"><sp
<li><a href="https://dtu-panopto.lancs.ac.uk/Panopto/Pages/Viewer.aspx?id=93c898ce-8009-47c6-ad43-acec0130b2ea">Part 2</a> – about 16 minutes</li>
<li><a href="https://dtu-panopto.lancs.ac.uk/Panopto/Pages/Viewer.aspx?id=078770df-47d0-4a25-9fdd-acec0135f5ea">Part 3</a> – about 19 minutes</li>
</ul>
<p>1.2. I suggest you watch the recordings then read the rest of this chapter. The lectures provide a summary of the main points.</p>
<p>1.2. I suggest you watch the recordings then read the rest of this chapter.</p>
<ul>
<li>The lectures provide a summary of the main points.</li>
</ul>
<p>1.3. You can download the lecture slides in two different versions:</p>
<ul>
<li><a href="files/402-week-20-GLMM.pdf">402-week-20-GLMM.pdf</a>: exactly as delivered [700 KB];</li>
<li><a href="files/402-week-20-GLMM_6pp.pdf">402-week-20-GLMM_6pp.pdf</a>: printable version, six-slides-per-page [850 KB].</li>
</ul>
<p>The <code>GLMM.pdf</code> version is the version delivered for the lecture recordings. To make the slides easier to download, I produced a six-slide-per-page version, <code>GLMM_6pp.pdf</code>. This should be easier to download and print out if that is what you want to do.</p>
<p><strong>2. Chapter: 04-glmm</strong></p>
<p>2.1. I have written this chapter to discuss the main ideas and set out the practical steps you can follow to start to develop the skills required to work with categorical outcomes data using GLMMs.</p>
<p>2.2. The practical elements include data tidying, visualization and analysis steps.</p>
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2 changes: 1 addition & 1 deletion docs/search.json
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"href": "04-glmm.html#sec-glmm-study-guide",
"title": "6  Introduction to Generalized Linear Mixed-effects Models",
"section": "6.4 Study guide",
"text": "6.4 Study guide\nI have provided a collection of materials you can use. Here, I explain what they are and how I suggest you use them.\n1. Video recordings of lectures\n1.1. I have recorded a lecture in three parts. The lectures should be accessible by anyone who has the link.\n\nPart 1 – about 20 minutes\nPart 2 – about 16 minutes\nPart 3 – about 19 minutes\n\n1.2. I suggest you watch the recordings then read the rest of this chapter. The lectures provide a summary of the main points.\n2. Chapter: 04-glmm\n2.1. I have written this chapter to discuss the main ideas and set out the practical steps you can follow to start to develop the skills required to work with categorical outcomes data using GLMMs.\n2.2. The practical elements include data tidying, visualization and analysis steps.\n2.3. You can read the chapter, run the code, and do the exercises.\n\nRead in the example dataset.\nExperiment with the .R code used to work with the example data.\nRun GLMMs of demonstration data.\nRun GLMMs of alternate data sets.\nReview the recommended readings (Section 6.13).\n\n3. Practical workbook materials\n3.1 In the following sections, I describe the practical steps, and associated resources, you can use for your learning."
"text": "6.4 Study guide\nI have provided a collection of materials you can use. Here, I explain what they are and how I suggest you use them.\n1. Video recordings of lectures\n1.1. I have recorded a lecture in three parts. The lectures should be accessible by anyone who has the link.\n\nPart 1 – about 20 minutes\nPart 2 – about 16 minutes\nPart 3 – about 19 minutes\n\n1.2. I suggest you watch the recordings then read the rest of this chapter.\n\nThe lectures provide a summary of the main points.\n\n1.3. You can download the lecture slides in two different versions:\n\n402-week-20-GLMM.pdf: exactly as delivered [700 KB];\n402-week-20-GLMM_6pp.pdf: printable version, six-slides-per-page [850 KB].\n\nThe GLMM.pdf version is the version delivered for the lecture recordings. To make the slides easier to download, I produced a six-slide-per-page version, GLMM_6pp.pdf. This should be easier to download and print out if that is what you want to do.\n2. Chapter: 04-glmm\n2.1. I have written this chapter to discuss the main ideas and set out the practical steps you can follow to start to develop the skills required to work with categorical outcomes data using GLMMs.\n2.2. The practical elements include data tidying, visualization and analysis steps.\n2.3. You can read the chapter, run the code, and do the exercises.\n\nRead in the example dataset.\nExperiment with the .R code used to work with the example data.\nRun GLMMs of demonstration data.\nRun GLMMs of alternate data sets.\nReview the recommended readings (Section 6.13).\n\n3. Practical workbook materials\n3.1 In the following sections, I describe the practical steps, and associated resources, you can use for your learning."
},
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"objectID": "04-glmm.html#sec-glmm-ideas-intro",
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