The author offers an easy way to learn R for statistics, recommending the lm() function since many statistical tests are variations of a linear model. By showcasing the mathematical background and code implementation, the post demonstrates how common statistical tests like the One-Sample T-test and Two-Sample T-test are linear models. Surprisingly, comparing group means using a linear model yields the same results as traditional statistical tests. The author uses visual aids like plots and explains how to derive key statistical values from the linear model output. Overall, it’s an insightful and practical guide to understanding statistical tests through linear models in R.
https://danielroelfs.com/blog/everything-is-a-linear-model/