Releases: nathaneastwood/poorman
Eleventh CRAN release
Eleventh CRAN release. This release:
- Adds a new function
fill()
that mimicstidyr::fill()
(#113, @etiennebacher). - Includes various performance improvements for grouped operations,
pivot_wider()
andpivot_longer()
(@etiennebacher). - Fixes CRAN issues.
Tenth CRAN Release
This update adds the following features:
- Initial versions of
pivot_longer()
andpivot_wider()
have been added (#101, @etiennebacher). - The
.names
argument inacross()
now accepts{.col}
and{.fn}
to automatically name new columns (#100, @etiennebacher). - New function
lst()
to reproduce the outputs oftibble::lst()
. It enables the creation of lists where elements are built sequentially (i.e depend on the previous ones) and are self-named (i.e the expression is used if no name is given) (#108).
The following fixes were also implemented:
arrange()
now works for descending character vectors (#99, @etiennebacher).arrange()
now resets row names when they are numeric (#102, @etiennebacher).distinct()
now resets row names when they are numeric (#106, @etiennebacher).
The CICD pipeline was also fixed such that users can now tests pull requests. The documentation is now built using HTML5.
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).- New cumulative functions have been added:
cumall()
,cumany()
andcummean()
(#64). - Additional tools for working with rownames have been added:
has_rownames()
,remove_rownames()
,column_to_rownames()
,rowid_to_column()
(#66). filter()
gains the.preserve
parameters (#81).if_any()
andif_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:
- When grouping data with
group_by()
, it will now create an object of classgrouped_df
and notgrouped_data
which keeps it consistent with the {dplyr} method name (#70). This should hopefully make transitioning packages from {dplyr} to {poorman} a little easier.
Eighth 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).- Columns created by
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.- An empty
summarise()
will now correctly return an emptydata.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 ofgroup_vars()
.set_groups()
has been replaced withgroups_set()
for API consistency.
Seventh CRAN Release
This update has added the following new features:
across()
(#37).na_matches
andkeep
parameters have been added to mutate joins.- list columns can now be mutated.
- Added the missing ability to use
&
inpoor-select
.
Fixes:
- Use of variables in
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:
- Filter joins will no longer reduce to vectors thanks to @msberends.
contains()
no longer returns lists.relocate()
can now use "tidy select" style column selections.
New documentation components have been added:
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()
andrecode_factor()
(#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()
,cur_column()
(#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()
andlag()
(#13)n_distinct()
(#16)- window rank functions:
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:
- More support for "tidyselect" features such as
!
,:
,-
,c()
and()
- Removal of
eval(parse(text = ...)
- Rework of grouped summaries
Finally, 0.2.0 includes many bug fixes:
Third CRAN Release
This is the 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
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 namedmpg2
andmpg4
group_by()
groups now persist in selections, e.g.mtcars %>% group_by(am) %>% select(mpg)
will returnam
andmpg
columnsslice()
now duplicates rows, e.g.mtcars %>% slice(2, 2, 2)
will return row 2 three timessummarize()
is now exported