Bill J

If you're still using raw R outputs for presentations, it's time for an upgrade! Tools like gtsummary bring your statistical results to life, making them much more digestible for non-technical audiences. While base R functions like summary(fit) work well for statisticians, they can be too complex for stakeholders who aren’t familiar with the detailed output. The tbl_regression() function from gtsummary makes it easy to present regression results clearly. In addition, gtsummary is highly versatile - it’s not just limited to linear regression. You can apply it to generalized linear models, survival analyses, and more. The package even allows you to include p-values, confidence intervals, and other important statistics directly within the tables, helping you to better communicate statistical results. Here are a few standout benefits: ✅ Simplified output that’s easier for stakeholders to understand ✅ Works seamlessly with a variety of models ✅ Customizable tables with key statistics like p-values, confidence intervals, and more The visualization included here was originally shared in a recent post by Dr. Alexander Krannich. Interested in more tips on data science, statistics, Python, and R? Be sure to sign up for my free email newsletter! Learn more: eepurl.com/gH6myT #DataScience #DataAnalytics #programming #Rpackage #datastructure