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CFtime 1.4.1
- Method
slab()
has an additional argument
rightmost.closed
to indicate if the upper extreme value
should be included in the result.
- Fixed bounds information on CFtime instances returned from methods
indexOf()
and slab()
.
- Several minor code improvements.
CFtime 1.4.0
- Bounds that define intervals around offsets can be associated with a
CFtime instance and retrieved as raw offset values or as formatted
timestamps.
- Methods that subset a CF time series (e.g.
CFfactor()
,
cut()
, slab()
) now have an attribute “CFtime”
(among possible others) that describes the “time” dimension of the
analysis result applying the subset. In other words, if CFtime instance
‘Acf’ describes the temporal dimension of data set ‘A’ and a factor ‘Af’
is generated from ‘Acf’, then Bcf <- attr(Af, "CFtime")
describes the temporal dimension of the result of, say,
B <- apply(A, 1:2, tapply, Af, FUN)
.
- New
indexOf()
method added that returns the indices of
supplied timestamps in a CFtime instance, optionally with a fractional
part. This can be used to extract specific time steps, or to interpolate
between time steps using the fractional part, from the time dimension of
the data set associated with the CFtime instance. A vector of indices
(e.g. referring to slices of the data set) can also be supplied, in
which case valid indices are returned, with the new CFtime
instance.
- New
cut()
method added to generate a factor, similar to
cut.POSIXt()
but with some differences in the
arguments.
CFfactor()
now supports a period “quarter”, for
calendar quarters.
format()
method added that generates a character vector
of timestamps for the offsets in a CFtime instance. The format is
specified using the flags used in strptime()
, with some
limitations. In particular, locale-specific formatting is limited to
month names and no weekday information can be generated. The
range()
method has a new “format” parameter to support the
same functionality and timestamps can also be generated for the extremes
of the bounds, if set.
as_character()
and length()
methods added
that return a vector of timestamps or the number of offsets in a CFtime
instance, respectively.
- Several functions have been renamed (most notably
CFtimestamp()
to as_timestamp()
,
CFcomplete()
to is_complete()
,
CFrange()
to the standard generic method
range()
, and CFsubset()
to
slab()
) to be more consistent with the R universe. The
original functions are now flagged as being deprecated. Some datum
functions (deep down where regular mortals do not dwell) have been
deleted.
- Time zone designator “UTC” accepted when parsing timestamps to
offsets.
- Minor code fixes, see GitHub commits.
- Documentation updated, with description of new functions.
CFtime 1.3.0
- Two CFtime instances can be added if they have compatible calendars
and units. The earlier origin is preserved in the result and offsets
from the later instance are incremented by the appropriate amount. As
before, in the result offsets are in the order of the specified CFtime
instances.
- A new function CFsubset() can be used to retrieve a logical vector
that indicates which time steps in a CFtime instance fall between two
timestamps. This is useful to slice data during reading from file or
analysis.
- Time zone information is managed at the level of the datum. If a
vector of character timestamps is parsed and found to have different
time zones, a warning is generated.
- Much reduced memory footprint.
- Minor code fixes, see GitHub commits.
- Codecov.io test coverage monitoring added.
- Documentation updated, with description of new functions.
CFtime 1.2.0
- Datum units “years” and “months” added. While these units are
discouraged by the CF Metadata Conventions due to their problematic
definition, there are quite a few data sets out there that use these
units nonetheless. For this reason, reading existing files with such
datum units is supported (converting offsets to time elements is easy)
but parsing timestamps is not (calculating offsets from time elements is
possible but tedious and slow). Should there be a definite need, open an
issue on GitHub and make a very good case why this
functionality is required.
- CFresolution() returns the average separation between elements in a
time series, in units of the datum.
- CFcomplete() indicates if the time series is complete, meaning that
there are no gaps in the time series. This also works for time series
with a somewhat variable length such as monthly data with a “days” datum
unit. This works for all but the most exotic time dimension
constructions.
- CFtimestamp() produces a timestamp for all midnight values if the
datum unit is “hours”, “minutes” or “seconds”. The “time” format has
been removed. For “standard”, “gregorian” and “proleptic_gregorian”
calendars output can be generated as POSIXct by specifying the new
argument
asPOSIX = TRUE
– defaults to FALSE
,
the previous behaviour so the API is not broken.
- Minor documentation updates.
- Assorted minor code fixes, see GitHub commits.
CFtime 1.1.0
- CFtime() can now also be invoked with a vector of character
timestamps as offsets, or with a single timestamp to create a complete
time series from the datum to the indicated timestamp.
- CFtimestamp() can now automatically select the best format for the
time series.
- New CFfactor_units() and CFfactor_coverage() functions.
CFfactor_units() will tell you how many time units compose every level
of a factor. CFfactor_coverage() computes the actual or relative number
of time units in the factor levels from the time series in a CFtime
instance with which the factor was created. This will enable you to
assess the completeness of your time series (and perhaps filter out
factor levels below a certain coverage threshold) and it can be useful
in computing absolute values from average values, as is often useful
when computing anomalies.
- Global constants are now defined in a package environment, CFt.
- Documentation expanded, updated and fixed.
- Assorted minor code fixes, see GitHub commits.
CFtime 1.0.0
- This version supports all CF Metadata Conventions calendars for use
with climate projection data.
- You can create timestamps from the offsets in the files and create
factors that greatly simplify working with climate change data.
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.