![]() ![]() Instead, just leave it as a for loop! (Or once you’ve repeated the same loop two or more times, maybe think about writing your own functional). If one doesn’t exist, don’t try and torture an existing functional to fit the form you need. ![]() You look at the for loop and find a functional that matches the basic form. If you’re an experienced for loop user, switching to functionals is typically a pattern matching exercise. Each functional is tailored for a specific task, so when you recognise the functional you immediately know why it’s being used. Just as it’s better to use while than repeat, and it’s better to use for than while (Section 5.3.2), it’s better to use a functional than for. For loops have a bad rap in R because many people believe they are slow 51, but the real downside of for loops is that they’re very flexible: a loop conveys that you’re iterating, but not what should be done with the results. You might have used for-loop replacements like base R’s lapply(), apply(), and tapply() or purrr’s map() or maybe you’ve used a mathematical functional like integrate() or optim().Ī common use of functionals is as an alternative to for loops. The chances are that you’ve already used a functional. ![]() Randomise 0.506 randomise ( mean ) #> 0.501 randomise ( sum ) #> 489 ![]()
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