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>split/lapply/aggregate/ave I always feel bad when I resort to a for loop in R. Do you have any recommended ressources about mastering those specific manipulat

• ekianjo 8y ago
  Unless you do something quitec complex dplyr is faster for such operations and consumes less RAM too.
• crispyambulance 8y ago
  Really, it's not always worth the trouble. Sometimes a loop is vastly more performant if you count the amount of time it takes to get the "idiomatic" way working and working in a way that allows easy troubleshooting.
• buchmayne 8y ago
  https://github.com/jennybc/row-oriented-workflows https://github.com/jennybc/row-oriented-workflows getting comfortable with purrr has been enormously helpful in consolidating my code and avoiding unnecessary loops