Leave the code cleaner than you found it. – R.C. Martin in Clean Code The R language has become very popular among scientists and analysts because it enables the rapid development of software and empowers scientific investigation. However, regardless of the language used, data analysis is usually complicated. Because of various project complexities and time constraints, analytical software often reflects these challenges. “What did I measure? What analyses are relevant to the …