Reproducible research is a topic that people like to talk about these days. Thinking about reproducible research and learning the important tools is what improved my work more than anything. Not in a sense that my results got better. More in a sense that my feeling about the work got ... [Read more...]

The coefficient of determination is otherwise known as (R^2) and is often used to determine whether a model is good. The Wikipedia article says that (R^2) “[…] is a number that indicates how well data fit a statistical model – sometimes simply a line or a curve. An (R^2) of 1 indicates that ... [Read more...]

I am holding an exercise on generalised models these days. Preparing a task on factor coding in generalised linear models, I realised that the help on the internet on that is not so easy to understand. At least what I found. So in order to help people ... [Read more...]

I use Makefiles to make reproducibility easier. They can become rather complex. I lately had the idea that it would be nice to be able to visualize my Makefiles. Turns out that you need just a few lines in R to get a decent graph. I figured this would ... [Read more...]