Web Reference: You'll hear people say "never use loops in R." That's an oversimplification. Loops are perfectly fine — R just gives you powerful alternatives that are often cleaner. This tutorial teaches you all the control flow tools, when to use each one, and when a vectorized solution is genuinely better. For that reason, it might make sense for you to avoid for-loops and to use functions such as lapply instead. This might speed up the R syntax and can save a lot of computational power! The next example explains how to use the lapply function in R. Sep 6, 2025 · Are you an R user who finds yourself writing for loops a little too often? While for loops are a fundamental programming construct, in R, especially within the Tidyverse ecosystem, there’s often a more elegant, readable, and powerful way to iterate: using the purrr package.
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R's for loops are horrible. Really? Getting better performance than dplyr with for loops! (CC054)
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R : R - Avoiding for loops with automatic iteration
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For loops in R to make all vs. all comparisons: Strategies for making them more efficient (CC053)

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