Der er gode og dårlige nyheder i forhold til min introduktionsbog til R, Introduktion til R. Lad os begynde med de gode nyheder. Bogen er taget i brug på flere uddannelsesinstitutioner (blandt andet på sociologi, hvilket jeg er ekstra glad for at høre). Hans Reitzels Forlag har således ytret interesse i at udgive en 3. […]
Category: statistics
The insignificance of statistical significance
In most settings, statistical significance is not that significant. I mean, I have reached the conclusion that even using the correct interpretation of statistical significance is not that important. The background is an old article in The Guardian I stumbled upon, which discussed the top 20 things politicians need to know about science. One of […]
How to improve your figures #14: Comply with accessibility guidelines
A good data visualisation is an accessible data visualisation. The more accessible a visualisation is, the more likely it is that the visualisation will convey the message of interest. For that reason, before you share your data visualisation with the world, it is always good to make sure that you comply with accessibility guidelines. The […]
Argument or pipe when using left_join() in R
In a recent post on R Weekly, there was a link to a question asked by Spencer Schien on BlueSky. Specifically, he asked for people’s preference when using dplyr::left_join(). The first option is to pipe the first data frame into left_join() with the second data frame specified within the function: df3 <- df1 |> left_join(df2) […]
AI will be dead in five years
There is this joke that people do statistics in R, machine learning in Python, and AI in PowerPoint. (I did not say it is a funny joke.) The point is that AI is not only about technology and programming, but also about framing machine learning in business-friendly terms to convince tech and non-tech savvy audiences […]