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<h1>StatStudio Summer Software Sessions</h1> <h2>R Studio Workshop:</h2> <p><a href="https://sarbearschwartz.github.io/Quant_I/" rel="nofollow">Link to free online e-book</a> for USU: PSY 6600 -or- EDUC 6600</p> <pre class="highlight"><code>Explaining Psychological Statistcs: A Compantion in R by Dr. Sarah Schwartz and Dr. Tyson Barrett</code></pre> <p>The first section of this ebook covers preparing your computer for using R Studio and includes information on the following topics (among others):</p> <ul> <li>What is R?</li> <li>What is R Markdown?</li> <li>Software Programs (including details on installing R and R-Studio on your computer)</li> <li>R Packages</li> <li>Knitting Notebooks</li> <li>Working Directory</li> <li>Data Wrangling</li> </ul> <p>After you've installed R and R Studio on your computer, you can use R Studio to follow along with the R Workshop Notebook (.rmd) as we cover new concepts each session. You can also view the HTML version of the R Workshop Notebook (No R or R Studio necessary). This workshop notebook, along with all datasets and supplemental material used throughout this workshop, are located in this workshop's <a href="https://osf.io/vqjze/files/" rel="nofollow">file folder</a>.</p> <h2>Fall & Spring: Quantitative Methods Workshops</h2> <p>The Statistical Consulting Studio holds several workshops each during fall and spring semesters. The topics are chosen to benefit a broad range of researchers with various backgrounds. While these classes are free for all faculty and students in the Emma Eccles Jones College of Education and Human Services, space is limited. Please register early to ensure a seat.</p> <p>If you would like to receive periodic emails announcing new sessions and links to register, <a href="https://lists.usu.edu/wws/info/statstudio" rel="nofollow">Subscribe to the Workshop LIstServe</a>.</p> <p>Materials for past workshops may be accessed on <a href="https://osf.io/bevdn/" rel="nofollow">Open Science Framework</a>.</p>
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