What’s the best way for a researcher to start learning R?

A good way to learn is by working on a subject you already care about. Pick a small project, such as analyzing sports, wildlife, or research data, and use it to practice importing data, cleaning it, and creating visualizations with ggplot2. R Cookbook is a useful reference, and there are also newer beginner-oriented books available. If you need a particular package for your work, contacting its author or joining a local R meetup can also be helpful.

Try applying R to one of your actual research tasks as soon as possible. Real data will make the lessons more relevant and help you learn faster than studying tutorials without a project. Start with the basics of data frames, importing files, filtering and transforming data, then move on to plots and statistical analysis.

If you already know Python, the transition to R should be fairly manageable because many programming and data-analysis concepts carry over. You can also use an AI assistant to generate small practice exercises, but make sure to run the code, check the results, and understand why it works rather than copying it blindly.