fixed link

readme.html

@@ -476,7 +476,7 @@ <h1>Statistical Analysis</h1>
 </tr>
 <tr class="odd">
 <td><a href="https://htmlpreview.github.io/?https://github.com/ccs-amsterdam/r-course-material/blob/master/tutorials/generalized_linear_models.html">Generalized linear models</a></td>
-<td><a href="https://www.youtube.com/watch?v=DDP62EUMRFs&amp;list=PL-i7GM-A1wBarcTV3wN2f-AAuEK3j76M0">GLM</a> (on <a href="https://www.youtube.com/watch?v=DDP62EUMRFs&amp;list=PL-i7GM-A1wBarcTV3wN2f-AAuEK3j76M0&amp;index=1">family</a> argument)</td>
+<td><a href="https://www.youtube.com/watch?v=WnmwuD8OwMw&amp;list=PL-i7GM-A1wBarcTV3wN2f-AAuEK3j76M0&amp;index=3">GLM</a> (on <a href="https://www.youtube.com/watch?v=DDP62EUMRFs&amp;list=PL-i7GM-A1wBarcTV3wN2f-AAuEK3j76M0&amp;index=1">family</a> argument)</td>
 <td>stats: glm, family, sjPlot: tab_model, plot_model</td>
 </tr>
 <tr class="even">
@@ -491,6 +491,11 @@ <h1>Statistical Analysis</h1>
 <h1>Text analysis</h1>
 <p>For a general introduction to text analysis (in R), see these videos on <a href="https://www.youtube.com/watch?v=O6CGXnxPHok&amp;list=PL-i7GM-A1wBZYRYTpem7hNVHK3hSV_1It&amp;index=1&amp;t=482s">preprocessing</a> and different <a href="https://www.youtube.com/watch?v=bHa2CClBYFw&amp;list=PL-i7GM-A1wBZYRYTpem7hNVHK3hSV_1It&amp;index=4">analysis approaches</a></p>
 <table>
+<colgroup>
+<col width="40%"></col>
+<col width="30%"></col>
+<col width="30%"></col>
+</colgroup>
 <thead>
 <tr class="header">
 <th>Tutorial</th>
@@ -516,7 +521,7 @@ <h1>Text analysis</h1>
 </tr>
 <tr class="even">
 <td><a href="tutorials/r_text_stm.md">Structural Topic Modeling</a></td>
-<td></td>
+<td><a href="https://www.youtube.com/watch?v=3rqkSqKp85s&amp;list=PLjXODJ_lGN_U02yQyZG5YpBgseVpiS9s2&amp;index=2&amp;t=0s">Variants of Topic Models</a>; <a href="https://www.youtube.com/watch?v=37yvQdQw5j8&amp;list=PLjXODJ_lGN_U02yQyZG5YpBgseVpiS9s2&amp;index=2">Structural Topic Models</a></td>
 <td><a href="https://www.structuraltopicmodel.com/">stm</a>, <a href="https://quanteda.io/">quanteda</a></td>
 </tr>
 <tr class="odd">
@@ -526,7 +531,7 @@ <h1>Text analysis</h1>
 </tr>
 <tr class="even">
 <td><a href="tutorials/r_text_ml.md">Supervised machine learning for text classification</a></td>
-<td></td>
+<td><a href="https://www.youtube.com/playlist?list=PLjXODJ_lGN_XdMBgyscXHXuSB81zUoXCR">Supervised Machine Learning</a></td>
 <td>caret</td>
 </tr>
 <tr class="odd">

readme.md

@@ -33,7 +33,7 @@ The chapter numbers are relevant chapters from the excellent (and freely availab
 |----|---|---|
 | [Basic statistics](tutorials/simple_modeling.md) | [Basic stats](https://www.youtube.com/watch?v=1K3SKsEj9eI) | stats: lm, aov, t.test |
 | [Advanced statistics overview](tutorials/advanced_modeling.md) | see GLM and Multilevel | stats: glm, lme4: lmer, glmer |
-| [Generalized linear models](https://htmlpreview.github.io/?https://github.com/ccs-amsterdam/r-course-material/blob/master/tutorials/generalized_linear_models.html) | [GLM](https://www.youtube.com/watch?v=DDP62EUMRFs&list=PL-i7GM-A1wBarcTV3wN2f-AAuEK3j76M0) (on [family](https://www.youtube.com/watch?v=DDP62EUMRFs&list=PL-i7GM-A1wBarcTV3wN2f-AAuEK3j76M0&index=1) argument) | stats: glm, family, sjPlot: tab_model, plot_model |
+| [Generalized linear models](https://htmlpreview.github.io/?https://github.com/ccs-amsterdam/r-course-material/blob/master/tutorials/generalized_linear_models.html) | [GLM](https://www.youtube.com/watch?v=WnmwuD8OwMw&list=PL-i7GM-A1wBarcTV3wN2f-AAuEK3j76M0&index=3) (on [family](https://www.youtube.com/watch?v=DDP62EUMRFs&list=PL-i7GM-A1wBarcTV3wN2f-AAuEK3j76M0&index=1) argument) | stats: glm, family, sjPlot: tab_model, plot_model |
 | [Multilevel Models](https://htmlpreview.github.io/?https://github.com/ccs-amsterdam/r-course-material/blob/master/tutorials/multilevel_models.html) | [Multilevel](https://www.youtube.com/watch?v=1Tw1eIfSyEQ&list=PL-i7GM-A1wBarcTV3wN2f-AAuEK3j76M0&index=4) | lme4: lmer, glmer, sjPlot: tab_model, plot_model |