Resources

PANGEA is the first power analysis program for general ANOVA designs (e.g., Winer, Brown, & Michels, 1991). PANGEA can handle designs with any number of factors, each with any number of levels; any factor can be treated as fixed or random; and any …

This site is about everything that comes up during data analysis except for statistical modelling and inference. This might strike you as strange, given R’s statistical roots. First, let me assure you we believe that modelling and inference are …

Swirl teaches you R programming and data science interactively, at your own pace, and right in the R console!

This symposium explores the “replication crisis” from the perspective of teachers and students. Presenters will describe the major issues surrounding replication, explain how students can contribute to replication research both in the classroom and …

Blogposts about psychology, reproducibility, replication etc.

I just published a new interactive visualization in my series of basic statistical concepts and techniques. This time I am trying to show how the t-distribution and the normal distribution differs, and how they become very similar for larger sample …

Meta-analyses are often accompanied by two popular forms of data visualization: forest plots and funnel plots. In this post, I’ll show how quick-and-dirty forest and funnel plots can be created with the metafor package. After, I’ll show how we can …

ggplot2, as I’ve already made clear, is one of my favourite packages for R. And since that original post about ggplot2 remains one of my most frequently visited, I thought I would proceed with starting a series of posts called “Make It Pretty”, all …

With this post, I’m going to be showing how you can use the psych package in conjunction with ggplot2 in order to create a prettier scree plot with parallel analysis–a very useful visualization when conducting exploratory factor analysis.

An abstract about Understanding Bayes and visualising Bayes Factor