https://easystats.github.io/blog/ Recent content on easystats Hugo -- gohugo.io en Thu, 27 Jan 2022 00:00:00 +0000 https://easystats.github.io/blog/posts/ Thu, 27 Jan 2022 00:00:00 +0000 https://easystats.github.io/blog/posts/ https://easystats.github.io/blog/portfolio/ Thu, 21 Jun 2018 00:00:00 +0000 https://easystats.github.io/blog/portfolio/ https://easystats.github.io/blog/resources/ Mon, 01 Jan 0001 00:00:00 +0000 https://easystats.github.io/blog/resources/ <h2 id="learn-r">Learn R</h2> <p>Here are some links to get started with R:</p> <ul> <li> <p><a href="https://r4ds.had.co.nz/"><strong>R for Datascience</strong></a></p> </li> <li> <p><a href="https://bookdown.org/ndphillips/YaRrr/"><strong>YaRrr! The Pirate&rsquo;s Guide to R</strong></a></p> </li> <li> <p><a href="https://www.yan-holtz.com/teaching"><strong>Yan Holtz&rsquo;s tutorials</strong></a></p> </li> <li> <p><a href="https://gvwilson.github.io/tidynomicon/"><strong>The Tidynomicon: A Brief Introduction to R for Python Programmers</strong></a></p> </li> <li> <p><a href="https://www.statmethods.net/r-tutorial/index.html"><strong>Quick-R</strong></a></p> </li> <li> <p><a href="https://www.edx.org/learn/r-programming"><strong>EdX courses</strong></a></p> </li> <li> <p><a href="https://www.youtube.com/user/TheLearnR/"><strong>LearnR Youtube Channel</strong></a></p> </li> </ul> <h2 id="stay-tuned">Stay tuned</h2> <p>Here are some links of blogs and such to keep in touch with this evolving field:</p> <ul> <li><a href="https://www.r-bloggers.com/"><strong>r-bloggers</strong></a></li> <li><a href="https://rweekly.org"><strong>r-weekly</strong></a></li> </ul> <h2 id="for-psychology">For Psychology</h2> <ul> <li><a href="https://learningstatisticswithr.com/"><strong>Learning Statistics with R</strong></a></li> <li><a href="https://psyr.org/"><strong>R for Psychological Science</strong></a></li> <li><a href="https://github.com/singmann/mixed_model_workshop"><strong>Statistical Modeling and Mixed Models with R</strong></a></li> </ul> <h2 id="bayesian-statistics">Bayesian Statistics</h2> <ul> <li><a href="https://easystats.github.io/bayestestR/articles/bayestestR.html"><strong>Bayesian Stats Tutorial</strong></a></li> <li><a href="https://fabiandablander.com/r/Bayes-Potter.html"><strong>Introduction to Bayes factors with Harry Potter</strong></a></li> </ul> <h2 id="miscellaneous">Miscellaneous</h2> <p>This section contains more scope-focused resources:</p> <ul> <li><a href="https://christophm.github.io/interpretable-ml-book/"><strong>Interpretable Machine Learning book</strong></a></li> <li><a href="https://curranbauer.org/wp-content/uploads/2019/04/SEM-R-notes-for-web-2019.pdf"><strong>Structural Equation Modeling using Lavaan</strong></a></li> <li><a href="https://socviz.co/"><strong>Data Visualization: A practical introduction</strong></a></li> <li><a href="https://noamross.github.io/gams-in-r-course/"><strong>GAMs in R</strong></a></li> <li><a href="https://m-clark.github.io/mixed-models-with-R/"><strong>Mixed Models in R</strong></a></li> </ul> <h2 id="contribute">Contribute</h2> <p>You can contribute to this post by adding more resources <a href="https://github.com/easystats/blog/master/content/ressources.md">here</a>.</p>