Lazy evaluation is a neat concept in R where expressions are not evaluated right away, but are kind of put on hold until they're really needed. It can come in handy when dealing with big data or complicated calculations that might take a lot of time. For instance, you could have a situation where you want to create a function that finds the maximum value of a large dataset, but you don't want R to calculate it immediately. Instead, you can use lazy evaluation to defer the computation until you actually need the result, saving both time and memory.

Sure thing! Lazy evaluation is a feature in R where expressions are not evaluated immediately, but are instead stored for later evaluation. This can be particularly useful when working with large datasets or complex computations, as it allows R to optimize memory usage and improve overall performance. An example would be if you wanted to create a function that calculates the sum of two variables, but only wants to evaluate the expression when explicitly called upon. By using lazy evaluation, you can postpone the computation until it's actually needed.