When considering any statistical tool I think it is useful to answer the following two practical questions: 1. "Does it give reasonable answers in realistic circumstances?" and 2. "Does it answer a question I am interested in?" In this post I explain …
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 …
It has been known for decades that published results tend to be biased (Sterling, 1959). For most of the past decades this inconvenient truth has been ignored. In the past years, there have been many suggestions and initiatives to increase the …
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.