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(This article was first published on <strong><a href="http://www.seascapemodels.org/rstats/2018/09/29/R-courses-February-2019.html"> Bluecology blog</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<h1>Beginner, Intermediate and Advanced R courses February 2019</h1>
<p>This is an announcement of our next set of R courses. There are 4 separate courses taught over 5th-8th February 2019.</p>
<p>You can <a rel="nofollow" href="https://smp.uq.edu.au/event/session/5650" target="_blank">register with the Centre for Applications in Resource Management site at the University of Queensland</a>.</p>
<p>These R workshops are especially tailored for biology/ecology, but will be useful for anyone working in sciences. We often have people from other sciences, like medicine attend.</p>
<p>Location is at the Centre for Applications in Natural Resource Management, The University of Queensland in Brisbane Australia.<br>
Student discounts on course fees are available.</p>
<p>Presenters: Prof Anthony Richardson (UQ Centre for Applications in Natural Resource Mathematics), Associate Prof David Schoeman (University of the Sunshine Coast), Dr Chris Brown (Griffith University).</p>
<p>The Advanced R course is taught by Dr Bill Venables (CSIRO) and long-time R developer.</p>
<p>We provide comprehensive workshop notes, including basic theory, applied worked examples in biology/ecology, and solution code.<br>
Here is the course schedule for 2019.<br>
In 2019 we have added a whole day for graphics, especially the use of the ‘ggplot2’ R package for plotting complex datasets.</p>
<h2>INTRODUCTION to R (1 day)</h2>
<p>Getting data into R;<br>
Summary Statistics;<br>
Simple Graphics;<br>
Manipulating Data;<br>
Simple statistics</p>
<h2>INTERMEDIATE R (2 days)</h2>
<p>ANOVA;<br>
Regression;<br>
Model selection;<br>
GLMs for binary and count data;<br>
GAMS;<br>
TREEs;<br>
Clustering;<br>
Ordination</p>
<h2>ggplot and spatial analysis in R (1 day)</h2>
<p>Data wrangling;<br>
ggplot;<br>
Mapping;<br>
Spatial analysis</p>
<p>This workshop is for you if you have been using R and want to improve your skills.</p>
<h2>ADVANCED R (3 days)</h2>
<p>Advanced data manipulation and visualisation;<br>
Advanced graphics;<br>
Statistical model building based on traditional and machine learning techniques;<br>
Programming and software development in the R language.</p>
<p>If you have used R extensively, then the Advanced R Workshop is for you.</p>
<h2>Testimonials</h2>
<p>June 2017: “I truly enjoyed the whole workshop. Great teachers, really nice real data examples and good notes and background. Everything was very well thought out and explained.”</p>
<p>June 2017: “I was really impressed with everything covered and how it was presented. I am feeling a lot better about using stats now than I was previously. I think it should be a compulsory course for all PhDs.”</p>
<p>Contact: carm@maths.uq.edu.au for more information or visit <a rel="nofollow" href="https://smp.uq.edu.au/event/session/5650" target="_blank">Centre for Applications in Resource Management site at UQ to register</a>.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://www.seascapemodels.org/rstats/2018/09/29/R-courses-February-2019.html"> Bluecology blog</a></strong>.</div>
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