I’ll check out those assert functions and I only meant that having apply,lapply,sapply,mapply took some getting used to most programming languages I had used prior include only 1 map / apply function and it’s still not clicking for me when there are performance penalties choosing one over another although I’ve read in the documentation that there are pros and cons
Could you please expand on that? It's unclear what you're referring to.
> The values NA vs Null vs integer(0) are all used as standins for real thrown errors and knowing which one to check for after calling a function can be tough.
`checkmate::assert_numeric()` (or similar)
with base R you want isTRUE():
`stopifnot(isTRUE(is.finite(x)))` (or is.na or anything else) will error on empty values.