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Expand Up @@ -143,7 +143,7 @@ <h2 id="toc-title">Table of contents</h2>
<ul class="collapse">
<li><a href="#course-program" id="toc-course-program" class="nav-link" data-scroll-target="#course-program">Course program</a></li>
<li><a href="#course-prerequisites-for-day-2-and-3" id="toc-course-prerequisites-for-day-2-and-3" class="nav-link" data-scroll-target="#course-prerequisites-for-day-2-and-3">Course prerequisites for day 2 and 3</a></li>
<li><a href="#about-lisa-debruine" id="toc-about-lisa-debruine" class="nav-link" data-scroll-target="#about-lisa-debruine">About: Lisa deBruine</a></li>
<li><a href="#about-prof.-lisa-debruine" id="toc-about-prof.-lisa-debruine" class="nav-link" data-scroll-target="#about-prof.-lisa-debruine">About: Prof.&nbsp;Lisa deBruine</a></li>
<li><a href="#contact" id="toc-contact" class="nav-link" data-scroll-target="#contact">Contact</a></li>
<li><a href="#certificate-of-attendance" id="toc-certificate-of-attendance" class="nav-link" data-scroll-target="#certificate-of-attendance">Certificate of attendance</a></li>
</ul></li>
Expand Down Expand Up @@ -188,20 +188,24 @@ <h1 class="unnumbered">Welcome</h1>
<p>Here, you will find the most important information about the course.</p>
<section id="course-program" class="level2">
<h2 class="anchored" data-anchor-id="course-program">Course program</h2>
<p><em><strong>First course day</strong>: General introduction in R and RStudio</em></p>
<section id="first-course-day-general-introduction-in-r-and-rstudio" class="level4">
<h4 class="anchored" data-anchor-id="first-course-day-general-introduction-in-r-and-rstudio">First course day: General introduction in R and RStudio</h4>
<p><em>31st of January 2024</em></p>
<p>09:00-12:00</p>
<p>Room: B102, Fabrikstrasse 8, 3012 Bern</p>
<p>This course day is led by Rahel Steuri and Gerda Wyssen. We will give a brief introduction to working with R and RStudio as well as an overview of the key functions for day 2 and 3. Specifically, we will cover how to install R and RStudio, load packages, import data, data wrangling, and data visualization.</p>
<p>If you are proficient (i.e.&nbsp;regular use) in R and RStudio, you can skip this day as we will provide a general introduction only. The content of the introduction can be found <a href="www.kogpsy.github.io/datasimulationcourse_24/introduction.html">here</a>. The script for day 1 will be also available on this website.</p>
<p><em><strong>Second and third course day</strong>: Data simulation with Lisa deBruine</em></p>
<p>If you are proficient (i.e.&nbsp;regular use) in R and RStudio, you can skip this day as we will provide a general introduction only. The content of the introduction can be found <a href="https://kogpsy.github.io/datasimulationcourse_24/introduction.html">here</a>. The script for day 1 will be also available on this website.</p>
</section>
<section id="second-and-third-course-day-data-simulation-with-lisa-debruine" class="level4">
<h4 class="anchored" data-anchor-id="second-and-third-course-day-data-simulation-with-lisa-debruine">Second and third course day: Data simulation with Lisa deBruine</h4>
<p><em>1st and 2nd of February 2024</em></p>
<p>09:00-17:00</p>
<p>Lunch break: 12:00-13:00 <em>Lunch will not be provided (Mensa/ Cafeteria is open)</em></p>
<p>Room: B102, Fabrikstrasse 8, 3012 Bern</p>
<p>During these two course days, Prof.&nbsp;Dr.&nbsp;Lisa deBruine will give a hands-on introduction to data simulation. It is best to bring your own data to work on during the workshop.</p>
<!-- If you do not have any data, we can provide a sample data set for you. -->
</section>
</section>
<section id="course-prerequisites-for-day-2-and-3" class="level2">
<h2 class="anchored" data-anchor-id="course-prerequisites-for-day-2-and-3">Course prerequisites for day 2 and 3</h2>
<ul>
Expand All @@ -212,8 +216,8 @@ <h2 class="anchored" data-anchor-id="course-prerequisites-for-day-2-and-3">Cours
</ul>
<p>(Support for installing R and RStudio/ packages, and a basic introduction in R will be provided on day 1 of this course)</p>
</section>
<section id="about-lisa-debruine" class="level2">
<h2 class="anchored" data-anchor-id="about-lisa-debruine">About: Lisa deBruine</h2>
<section id="about-prof.-lisa-debruine" class="level2">
<h2 class="anchored" data-anchor-id="about-prof.-lisa-debruine">About: Prof.&nbsp;Lisa deBruine</h2>
<p>Prof.&nbsp;Dr.&nbsp;Lisa deBruine is a professor of psychology at the University of Glasgow School of Psychology and Neuroscience. She created the R package {faux} to facilitate data simulation for multilevel modelling.</p>
<p><em><strong>For more information,</strong> visit:</em></p>
<p><a href="https://debruine.github.io" class="uri">https://debruine.github.io</a></p>
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10 changes: 5 additions & 5 deletions docs/search.json
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Expand Up @@ -11,7 +11,7 @@
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"text": "Course program\nFirst course day: General introduction in R and RStudio\n31st of January 2024\n09:00-12:00\nRoom: B102, Fabrikstrasse 8, 3012 Bern\nThis course day is led by Rahel Steuri and Gerda Wyssen. We will give a brief introduction to working with R and RStudio as well as an overview of the key functions for day 2 and 3. Specifically, we will cover how to install R and RStudio, load packages, import data, data wrangling, and data visualization.\nIf you are proficient (i.e. regular use) in R and RStudio, you can skip this day as we will provide a general introduction only. The content of the introduction can be found here. The script for day 1 will be also available on this website.\nSecond and third course day: Data simulation with Lisa deBruine\n1st and 2nd of February 2024\n09:00-17:00\nLunch break: 12:00-13:00 Lunch will not be provided (Mensa/ Cafeteria is open)\nRoom: B102, Fabrikstrasse 8, 3012 Bern\nDuring these two course days, Prof. Dr. Lisa deBruine will give a hands-on introduction to data simulation. It is best to bring your own data to work on during the workshop."
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"text": "Course prerequisites for day 2 and 3\n\nR and RStudio installed on a laptop,\nbasic knowledge of R(Studio) and R Markdown,\ninstalled packages ({faux}, {afex}, {broom}, {tidyverse}, and {lme4} from CRAN),\nif possible: bring your own data sets, information on planned analyses, etc.\n\n(Support for installing R and RStudio/ packages, and a basic introduction in R will be provided on day 1 of this course)"
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8 changes: 4 additions & 4 deletions index.qmd
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Expand Up @@ -6,7 +6,7 @@ Here, you will find the most important information about the course.

## Course program

***First course day**: General introduction in R and RStudio*
#### First course day: General introduction in R and RStudio

*31st of January 2024*

Expand All @@ -16,9 +16,9 @@ Room: B102, Fabrikstrasse 8, 3012 Bern

This course day is led by Rahel Steuri and Gerda Wyssen. We will give a brief introduction to working with R and RStudio as well as an overview of the key functions for day 2 and 3. Specifically, we will cover how to install R and RStudio, load packages, import data, data wrangling, and data visualization.

If you are proficient (i.e. regular use) in R and RStudio, you can skip this day as we will provide a general introduction only. The content of the introduction can be found [here](www.kogpsy.github.io/datasimulationcourse_24/introduction.html). The script for day 1 will be also available on this website.
If you are proficient (i.e. regular use) in R and RStudio, you can skip this day as we will provide a general introduction only. The content of the introduction can be found [here](https://kogpsy.github.io/datasimulationcourse_24/introduction.html). The script for day 1 will be also available on this website.

***Second and third course day**: Data simulation with Lisa deBruine*
#### Second and third course day: Data simulation with Lisa deBruine

*1st and 2nd of February 2024*

Expand All @@ -44,7 +44,7 @@ During these two course days, Prof. Dr. Lisa deBruine will give a hands-on intro

(Support for installing R and RStudio/ packages, and a basic introduction in R will be provided on day 1 of this course)

## About: Lisa deBruine
## About: Prof. Lisa deBruine

Prof. Dr. Lisa deBruine is a professor of psychology at the University of Glasgow School of Psychology and Neuroscience. She created the R package {faux} to facilitate data simulation for multilevel modelling.

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