- Fixed protection issues reported by rchk.
- Compatibility with dplyr 0.8.0.
- Compatibility with R 3.5.
- Fixed a compilation issue with clang and libc++.
CRAN maintenance release.
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
_if(), such as
summarise_if(). Note that this means the output of
.fshould 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
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