Tools at the Intersection of 'purrr' and 'dplyr'

Some functions at the intersection of 'dplyr' and 'purrr' that formerly lived in 'purrr'.

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purrrlyr contains some functions that lie at the intersection of purrr and dplyr. They have been removed from purrr in order to make the package lighter and because they have been replaced by other solutions in the tidyverse.



All data-frame based mappers have been moved to this package. These functions are not technically deprecated (so you can move to this package as easily as possible), but these functions are unlikely to be changed in the future (i.e. there will be no bug fixes) and are likely to go away in the near future, so we highly recommend updating to new approaches.

  • Mapping a function to each column of a data frame should now be handled with the colwise mutating and summarising operations in dplyr instead of dmap(). These are the verbs with suffix _all(), _at() and _if(), such as mutate_all() or summarise_if(). Note that this means the output of .f should conform to the requirements of dplyr operations: same length as the input for mutating operations, and length 1 for summarising operations.

  • Inovking a function row by row with the columns of a data frame as arguments should be done with pmap() followed by dplyr::as_dataframe() instead of map_rows().

  • Mapping rowwise slices of a data frame with by_row() is deprecated in favour of a combination of tidyverse functions. First use tidyr::nest() to create a list-column containing groupwise data frames. Then use dplyr::mutate() to operate on this list-column. Typically you will want to apply a function on each element (nested data frame) of this list-column with purrr::map().

Reference manual

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0.0.3 by Lionel Henry, a month ago

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Authors: Lionel Henry [aut, cre], Hadley Wickham [ctb], RStudio [cph]

Documentation:   PDF Manual  

GPL-3 | file LICENSE license

Imports magrittr, dplyr, purrr, Rcpp

Suggests testthat, covr

Linking to Rcpp, BH

Suggested by eechidna, evaluator, snakecase.

See at CRAN