R Programming is a powerful tool for data analysis, but even experienced users can encounter pitfalls. Recognizing these common mistakes and learning how to avoid them can enhance your coding efficiency and effectiveness. Here’s a look at frequent errors in R and practical tips to sidestep them. 1. Not Using Vectorization Many programmers overl