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Multi-week periods are no longer allowed. These previously threw a warning from lubridate and were already partially broken. Now lubridate throws an error if multi-week periods are supplied (#103).
Adapted to stricter parsing in lubridate and timechange (#103).
Fixed usage of | rather than || in the
C++ code to satisfy a CRAN warning.
Fixed a tidyselection warning emitted by the
tbl_time method for unnest() (#100).
Removed usage of deprecated tibble::trunc_mat() in
favor of pillar::tbl_sum().
nest().Coercing a grouped tbl_time object to tibble with
as_tibble() now drops groups and returns a bare tibble. The
previous behavior of returning a grouped tibble was incorrect and let to
faulty behavior in other functions.
Fixed an issue related to dplyr::ungroup() in dplyr
1.0.0 where ungrouping would not return an ungrouped tbl_time
(#91).
Features
tidyr::nest() and
tidyr::unnest() have been updated to be compliant with
tidyr 1.0.0. An error will be triggered if you have a version of tidyr
installed that is < 1.0.0 and try to use one of these functions on a
tbl_time object.Bug fixes
collapse_by() no longer errors when there is a column
named start_date in the tbl_time object
(#81).Features
tbl_time object through
new_tbl_time(). Only to be used by package developers
extending tibbletime.Bug fixes
For tibble 2.0.1, an internal bug fix was made to
pass along an nrow argument.
For dplyr 0.8.0, an internal fix was made in one of
the tests.
A new line was added to inst/include/is_ordered.h to
appease CRAN.
The tbl_time time zone for POSIXct indices is now
set as the first non NA value of: “tzone” attribute ->
Sys.timezone() -> “UTC”. Previously there was no
Sys.timezone() step as there were problems with local time
zones such as America/New_York interacting with collapsing
by day. Those problems have been fixed by using DSTday with
all POSIXct indices even if day is
specified.
General
collapse_index() and collapse_by()
support a clean argument. This will round your index
up/down to the next period boundary, allowing for prettier dates that
can be used in summaries.
A new helper function, collapse_by(), wraps the
common idiom of
.tbl_time %>% mutate(date = collapse_index(date, "yearly"))
and is the easiest way to use tibbletime with the rest of
the tidyverse.
You can now pass an index vector (easily created with
create_series()) to the period argument of
functions like as_period() or collapse_by() to
specify custom periods to collapse at.
Added support for millisecond and
microsecond grouping. See ?create_series for
examples and ?filter_time Details for more
information.
partition_index() (and therefore higher level
functions like collapse_by()) now round using the entire
period argument to figure out the default start date.
Meaning if 2 years is passed, it will round down the start
of the series to the lower 2 year boundary, rather than
just year. This is a small change, but is technically
breaking.
More efficient parsing of periods. Only noticably faster with a large number of groups.
Bug Fixes
tidyr::gather() and tidyr::spread() now
work appropriately.This is a major update. It introduces a huge number of breaking
changes as we heavily reworked the internals of the package. This should
ensure the longevity of the package and provide maximum flexibility for
its use with dplyr. As this was still early in package
development with minimal usage, and because we had issued a Warning in
the README of the last update that we may change things, we have not
made any attempt to support backwards compatability. From this point
forward, however, we will support backwards compatability as we feel
that we have reached a more stable implementation.
With that out of the way, here is a complete list of changes.
General
The period argument no longer supports the ‘period
formula’ (e.g. 1~year). It added unnecessary complication
with little benefit. Rather, a character should be used like
'1 year'. See the documentation of
partition_index() for full details.
time_formula arguments still support the
from ~ to style syntax, but the left and right hand sides
must now be characters, rather than bare date specifications. In
English, rather than 2013 ~ 2014, you must use
'2013' ~ '2014'. This is easier to program with and also
allows you to pass in variables to the time formula, which previously
did not work well.
time_filter() has become filter_time().
This naming is easier to remember now that a suite of
time_*() functions is not being developed and is easier to
find with autocompletion.
time_group() and time_collapse() have
become partition_index() and collapse_index().
Both functions accept index vectors and are commonly used
inside dplyr::mutate().
partition_index() splits an index by period and
returns an integer vector corresponding to the groups.
collapse_index() collapses an index by period so
that all observations falling in that interval share the same date. This
is most useful when used to then group on the index column.
There is full support for Date and
POSIXct classes as the index, and there is experimental
support for yearmon, yearqtr, and
hms classes.
ceiling_index() and floor_index() are
thin wrappers around lubridate functions of similar names,
but they also work for yearmon, yearqtr and
hms.
create_series() now has an explicit
class argument.
as_period() gains an include_endpoints
argument for including the last data point if
side = "start" is specified or the first data point if
side = "end" is used.
There are a number of new “getter” functions for accessing the
index and time zone of tbl_time objects. These are useful
for package development.
filter_time(), as_period() and other
“getter” functions now use .tbl_time as a consistent first
argument rather than x. collapse_index() and
partition_index() use index as their first
arguments.
Exported parse_period() for general use in other
related packages.
Warnings are now generated if the user is not using a sorted index.
Bug Fixes
All dplyr functions should now retain the
tbl_time class and relevant attributes.
Ensure that tidyr::spread() passes the
fill argument through.
Default time zone is now UTC rather than
Sys.timezone() to handle a daylight savings issue.
New functionality
time_floor() and time_ceiling() are
convenient wrappers to lubridate functions for altering
dates to period boundaries.
time_unnest() is used to specifically unnest a
tibble object with a list-column of tbl_time
objects.
create_series() allows the user to create a
tbl_time object with a regularly spaced sequence of
dates.
time_group() has become the workhorse function for
creating time based groups used in changing periodicity and other
grouped time based calculations.
time_summarise() and tmap() now also
accept a formula-based period.
as_period() now accepts a formula-based
period that provides an incredible amount of flexibility in
creating groups. (#9, #14, #15)
rollify() creates a rolling version of any function
for use in dplyr::mutate(). (#7)
General
You now have to explicitely load dplyr or
tidyr to use any functions from those packages. Previously
they were reexported, but this seems unnecessary.
Added vignettes on intro, filtering, and
as_period().
Added more extensive dplyr support.
Speed increases for as_period() and
create_series().
Internal global utilities moved to utils.R.
Added test coverage. (#2)
Added package documentation page. (#3)
Added versions to all imported packages.
Bug Fixes
Fixed an issue with [ in combination with
tibble::add_column(). Use
tibble (>= 1.3.4.9001) for correct behavior.
Fixed a bug where using tidyr::nest() would cause
the nested tibbles to lose their time attributes.
Fix a bug where filter_time(data, ~yyyy-mm-dd) would be parsed as
yyyy-mm-dd 00:00:00 ~ yyyy-mm-dd 00:00:00 instead of
yyyy-mm-dd 00:00:00 ~ yyyy-mm-dd 23:59:59.
Fix a bug with as.Date / as.POSIXct operator collision in
filter_time().
tibbletime, a package for time aware
tibbles.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.