Why use purrr::map instead of lapply?

Why use purrr::map instead of lapply?

r purrr

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Row-wise iteration like apply with purrr

r apply purrr

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Adding column if it does not exist

r dataframe dplyr purrr

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Tidyverse approach to binding unnamed list of unnamed vectors by row - do.call(rbind,x) equivalent

r dplyr data.table tidyverse purrr

r

Use input of purrr's map function to create a named list as output in R

r list named purrr

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purrr map equivalent of nested for loop

r purrr

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R purrr:::pmap: how to refer to input arguments by name?

r purrr tidyverse

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tidyverse - prefered way to turn a named vector into a data.frame/tibble

r dplyr tidyr purrr tidyverse

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Parse Error: "Trailing Garbage" while trying to parse JSON column in data frame

json r jsonlite purrr

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What is meaning of first tilde in purrr::map

r purrr tilde

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tidyverse: binding list elements of same dimension

r dplyr tidyverse reduce purrr

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R - Parallelizing multiple model learning (with dplyr and purrr)

r parallel-processing dplyr purrr

r

Pass function arguments by column position to mutate_at

r dplyr purrr

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Equivalent of rowwise() do() with purrr, now that by_row() is deprecated?

r dplyr purrr

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Using purrr::pmap within mutate to create list-column

r dplyr purrr

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