Ninth CRAN release.
This update has added the following new features:
summarise() can now revise grouping structures with the .groups argument (#57).group_by() can now drop groups formed by factor levels that don’t appear in the data with the .drop parameter (#63).cumall(), cumany() and cummean() (#64).has_rownames(), remove_rownames(), column_to_rownames(), rowid_to_column() (#66).filter() gains the .preserve parameters (#81).if_any() and if_all() were added (#80).The following fixes were also implemented:
mutate() now successfully evaluates functions defined in the scope of a parent function (#68).select_positions() now works if passed a combination of positive and negative values (#71).transmute() now keeps unnamed columns that it creates (#72).The following refactorisations took place:
group_by(), it will now create an object of class grouped_df and not grouped_data which keeps it consistent with the {dplyr} method name (#70). This should hopefully make transitioning packages from {dplyr} to {poorman} a little easier. # poorman 0.2.4Eighth CRAN release.
This update has added the following new features:
group_by() can now create new columns, grouping by the result (#58).with_groups() (#61).nth() (#62).mutate() can now relocate resulting mutations (#59).mutate() can now keep all, used, unused or none of the resulting mutations (#60).across() can now accept lambda style functions (#52).summarise() are now immediately available (#20).cur_column() (#52).The following fixes were also implemented:
across() can now accept function names as characters (#56) - thanks @Eyayaw for pointing this out.summarise() will now correctly return an empty data.frame (#55).Other general refactorisations and improvements of note:
group_by() is now an S3 generic..default() methods are now .data.frame() methods.get_groups() has been removed in favour of group_vars().set_groups() has been replaced with groups_set() for API consistency.Seventh CRAN release.
This update has added the following new features:
across() (#37).na_matches and keep parameters have been added to mutate joins.& in poor-select.Fixes:
relocate().In addition there have been lots of improvements to documentation and many, many more tests added.
Sixth CRAN release.
This update has added the following new features:
rename_with()group_cols() (#42)cur_data_all()nest_by() (#44)case_when() (#23)bind_cols() (#32)bind_rows() (#33)unite()Performance upgrades and code improvements:
pull() is now much faster thanks to @markfairbanks.%>% now allows you to pipe into a .; my thanks go to @moodymudskipper.The following bugs have been squashed:
contains() no longer returns lists.relocate() can now use “tidy select” style column selections.New documentation components have been added:
{pkgdown} website has been added (#30).Fifth CRAN release.
The update has added the following new features:
distinct() (#17)slice_head(), slice_tail(), slice_min(), slice_max(), slice_sample() (#22)where() (#27)coalesce() (#28)group_split(), group_keys() (#29)na_if() (#34)recode() (#35)near() (#36)replace_na() (#38)group_data(), group_indices(), group_vars(), group_rows(), group_size(), n_groups(), groups() (#39)glimpse() (#40)cur_data(), cur_group(), cur_group_id(), cur_group_rows() (#41)There have also been a lot of refactoring for the internals of the package, particularly focusing on context awareness which allows for quite a few of these features (#40, #41) and grouped operations should now be more consistent. This update of course comes with a host of bug fixes including the renaming of multiple columns when using {poorman}’s version of {tidyselect}.
Fourth CRAN release.
This update has added the following new features:
if_else() (#11)between() (#12)lead() and lag() (#13)n_distinct() (#16)cume_dist(), dense_rank(), min_rank(), ntile(), percent_rank(), row_number() (#18)My thanks go to @msberends for their help on these features!
This update also refactors a lot of the code, hence the minor version bump. This includes:
!, :, -, c() and ()eval(parse(text = ...)Finally, 0.2.0 includes many bug fixes:
group_by() + mutate() now preserve row order (#14)pull() (#15)Third CRAN release.
This update adds the functions count(), tally(), add_count() and add_tally(). In order to achieve these, the functions n() and desc() have also been added. In addition, group_by() can now add additional groups to an already grouped data.frame.
Second CRAN release.
This update adds selection helper functions. See ?select_helpers for more information.
The following bugs have been fixed:
mutate() column creations are immediately available, e.g. mtcars %>% mutate(mpg2 = mpg * 2, mpg4 = mpg2 * 2) will create columns named mpg2 and mpg4group_by() groups now persist in selections, e.g. mtcars %>% group_by(am) %>% select(mpg) will return am and mpg columnsslice() now duplicates rows, e.g. mtcars %>% slice(2, 2, 2) will return row 2 three timessummarize() is now exportedFirst CRAN release
This update adds relocate() and consolidates the selection method for select(), rename() and relocate() using select_positions().
This update adds semi_join() and anti_join().
This update adds inner_join(), left_join(), right_join() and full_join().
This update adds a full set of tests for the functions available in v0.1.5.
This update adds a copy of the pipe (%>%).
This update adds summarise().
This update adds rename().
This update includes group_by() and ungroup() operations.
This initial version includes the select(), pull(), arrange(), filter(), slice(), mutate() and transmute() functions. See the blog post for more details.