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Fixes for CRAN checks.
purrrlyr no longer depends on BH headers.
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
_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().
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.