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This shows you the differences between two versions of the page.

--- r_workshop8 [2016/10/21 10:49]
vincent_fugere [QCBS R Workshops]
+++ r_workshop8 [2021/10/13 16:05] (current)
lsherin
@@ Line 1: / Line 1: @@
+<WRAP group>
+<WRAP centeralign>
+<WRAP important>
+<wrap em> __MAJOR UPDATE__ </wrap>
+<wrap em> As of Fall 2021, this wiki has been discontinued and is no longer being actively developed. </wrap>
+<wrap em> All updated materials and announcements for the QCBS R Workshop Series are now housed on the [[https://r.qcbs.ca/workshops/r-workshop-08/|QCBS R Workshop website]]. Please update your bookmarks accordingly to avoid outdated material and/or broken links. </wrap>
+<wrap em> Thank you for your understanding, </wrap>
+<wrap em> Your QCBS R Workshop Coordinators. </wrap>
+</WRAP>
+</WRAP>
+<WRAP clear></WRAP>
 ======= QCBS R Workshops =======
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 //The content of this workshop has been peer-reviewed by several QCBS members. If you would like to suggest modifications, please contact the current series coordinators, listed on the main wiki page//
+<wrap em>IMPORTANT NOTICE: MAJOR UPDATES</wrap>
+**March 2021 update:** This wiki has been discontinued and is no longer being actively developed or updated. Updated materials for the QCBS R Workshop Series are now housed on the QCBS R Workshop [[https://github.com/QCBSRworkshops/workshop08|GitHub page]].
+Available materials include;
+  - The [[https://qcbsrworkshops.github.io/workshop08/pres-en/workshop08-pres-en.html|Rmarkdown presentation]] for this workshop;
+  - An [[https://qcbsrworkshops.github.io/workshop08/book-en/workshop08-script-en.R|R script]] that follows the presentation - //*under construction*//;
+  - [[https://qcbsrworkshops.github.io/workshop08/book-en/index.html|Written materials]] that accompany the presentation in bookdown format - //*under construction*//.
 ====== Workshop 8: Generalized additive models ======
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 **Summary:** The goal of today's workshop will be to first examine what we mean by a non-linear model, and how GAMs (Generalized Additive Models) allow us to handle non-linear relationships. We will also go over how to plot and interpret these non-linear relationships, how to include interaction terms, autocorrelated errors and expand on previous workshop by briefly examining a mixed modelling framework. Lastly, we will briefly touch upon what GAMs are doing behind the scenes.
-Link to associated Prezi: [[https://prezi.com/ktlh8t8-03yt/|Prezi]]
+**Link to new [[https://qcbsrworkshops.github.io/workshop08/workshop08-en/workshop08-en.html|Rmarkdown presentation]]**
+Link to old [[https://prezi.com/ktlh8t8-03yt/|Prezi presentation]]
 Download the R script and data for this lesson: