When finishing Worry about correctness and repeatability, not p-values I got to thinking a bit more about what can you actually check when reading a paper, especially when you don’t have access to the raw data. Some of the fellow scientists I admire most have a knack for back of […]
The important criterion for a graph is not simply how fast we can see a result; rather it is whether through the use of the graph we can see something that would have been harder to see otherwise or that could not have been seen at all. — William Cleveland, […]
What is R2? In the context of predictive models (usually linear regression), where y is the true outcome, and f is the model’s prediction, the definition that I see most often is: In words, R2 is a measure of how much of the variance in y is explained by the […]