Looking to do some data filtering in base R? Well then of course I have a post for you! Many times people in a corporate environment are strapped from installing packages or it is cumbersome to get it done, this is why I like to focus on base R solutions.
As data analysts, we know that no model is perfect. Residuals, the differences between observed and predicted values, offer valuable insights into the strengths and weaknesses of our models. Introducing the plot_regression_residuals() function from the tidyAML R package - a game-changer for visualizing regression residuals.