R purrr - map2() and pmap() - Multiple Inputs
While map() handles single-input iteration elegantly, real-world data operations frequently require coordinating multiple inputs. Consider calculating weighted averages, combining data from…
Purrr
R purrr - possibly() and safely() - Error Handling
• possibly() and safely() transform functions into error-resistant versions that return default values or captured error objects instead of halting execution
R purrr - reduce() and accumulate()
library(purrr)
Read more →R purrr - keep() and discard()
• keep() and discard() filter lists and vectors using predicate functions, providing a more expressive alternative to bracket subsetting when working with complex filtering logic
R purrr - map_df()/map_dbl()/map_chr()
Base R’s lapply() always returns a list. You then coerce it to your desired type, often discovering type mismatches late in execution. The purrr approach enforces types immediately:
R purrr - map() Function with Examples
The purrr package revolutionizes functional programming in R by providing a consistent, predictable interface for iteration. While base R’s lapply() works, map() offers superior error handling,…