"timechange" funbyApproach utilising
timechange::time_floor() as the main function for
transforming timestamps. This new approach generally is way faster than
the existing ones for both families of TALFs and all time zones, hence
it is the new package’s default.byY_____() and byYm____()
TALFs of the "base" funbyApproach.print() method does not print its values’ key
anymore, as it used to be data.table’s default before
v1.15.0.aggregate() method, which could lead
to incorrect results under the following conditions:
DTSg object is not UTC or
equivalent.ignoreDST argument is TRUE..n column now contains 0
instead of NA in case all values of a certain temporal
aggregation level are missing.na.rm argument.data.table’s GForce
optimisation when the fun argument of the
aggregate() method is provided with a character vector
specifying summary functions. Please note that the column order of the
resulting DTSg object is now different due to this
fix.set() method was too anxious about
removing all value columns.byFasttime*() TALFs. Please use the "fasttime"
or even better the new "timechange"funbyApproach` from now
on.magrittr from the suggested packages list
(vignettes now use R’s native pipe operator)."x,y,z", or the start and end column separated by a colon,
for example, "x:z".interpolateLinear() function causing
partial last observation carried forward behaviour when its
roll argument was specified smaller than the size of the
gap to be interpolated.interpolateLinear() function causing
partial interpolation in certain cases when its roll
argument was specified smaller than the size of the gap to be
interpolated.funbyApproach argument to the new(),
aggregate(), colapply() and
subset() methods: allows for specifying the flavour of the
applied temporal aggregation level functions (either "base"
utilising as.POSIXct() or "fasttime" utilising
fasttime::fastPOSIXct() or "RcppCCTZ"
utilising RcppCCTZ::parseDatetime() as the main function
for transforming timestamps). Custom approaches for user defined TALFs
are also possible. Please note that the byFasttime*
versions of the TALFs are now deprecated. Use this argument from now on
instead.funbyApproach also to the list of
helper data (funbyHelpers argument) passed on to
TALFs.funbyApproach field reflecting the individual
funbyApproach of a DTSg object (can also be
actively set in order to change the utilised approach).names() method exclusive only to the
R6 interface acting as an alias for the cols() method.mode and typeof arguments to the
cols() method: allows for getting column names with a
certain mode() and/or typeof(). This can be
especially handy when making use of the units package.DTSgFast, DTSgFunbyApproach and
DTSgNA.status options providing default values for the
fast, funbyApproach and na.status
arguments of the new() method.DTSgDeprecatedWarnings option: allows for
disabling warnings from deprecated features.by______() and
byFasttime______() TALFs."all" with the class argument of the
cols() method in order to get all column names. Use the
default value NULL instead for this. "all" is
treated as a filter for classes of type all from now
on.setCols() method showing how to
set measurement units with the help of the units
package.colapply()
method showing how to calculate running correlations with the help of
the runner package.".numerary" available to
the class argument of the cols() method:
allows for querying the names of integer and
numeric columns in one go.raggregate(), rbind(),
set() and setnames() methods exclusive only to
the R6 interface acting as aliases for the rowaggregate(),
rowbind(), setCols() and
setColNames() methods.print() method now truncates the number of printed
rows of the values more aggressively.pkgdown website.rowaggregate() method: allows for applying
summary functions row-wise to a DTSg object.rowbind() method: allows for combining the rows
of a DTSg object.setColNames() method: allows for renaming columns
of a DTSg object.multiplier and funbyHelpers
arguments to the aggregate(), colapply() and
subset() methods: allows for adjusting the temporal
aggregation level of TALFs and for passing on user defined helper data
to TALFs.multiplier also to the list of
helper data passed on to TALFs.helpers argument to the colapply()
and rollapply() methods: controls if helper data is passed
on to an applied function (makes occasionally needed anonymous function
wrappers obsolete,
e.g. x$colapply(fun = function(x, ...) {cumsum(x)}, funby = byYm____)
can now be written as
x$colapply(fun = cumsum, helpers = FALSE, funby = byYm____)).fasttime package now also support
time zones equivalent to UTC (execute
grep("^(Etc/)?(UCT|UTC)$|^(Etc/)?GMT(\\+|-)?0?$", OlsonNames(), ignore.case = TRUE, value = TRUE)
for a full list of supported time zones).DTSg object with only one timestamp did
not set the name of its .dateTime column as expected.subset() method: allows for filtering rows and/or
selecting columns of a DTSg object.setCols() method: allows for setting the values
of columns of, adding columns to and/or removing columns from a
DTSg object.[ extract operator: acts as a shortcut for the
getCol() method.colapply()
method showing how to calculate moving averages with the help of the
runner package instead of the rollapply()
method.aggregate() method can benefit from
data.table’s GForce optimisation now when its
fun argument is provided with a character vector specifying
summary functions.nas() method.funby argument of the colapply() method are
not forced to return a POSIXct timestamp any longer. They
are, however, forced to return an atomic mode (the same goes for the
subset() method).getCol() method now is capable of also querying the
.dateTime column.R6Method argument of the
S3WrapperGenerator() function now also takes a public
method of an R6ClassGenerator as a function and not only as
an expression.merge() method despite an "explicit"
na.status in some cases.getCol() method tried to query all
numeric columns instead of only the first one by default.getCol() method: allows for querying the values
of a single column of a DTSg object.funby and ignoreDST arguments to the
colapply() method: allows for applying functions like
cumsum() to a certain temporal level.na.status argument to the new() and
alter() methods: allows for making missing values either
"explicit" (default) or "implicit" or leaving
them alone via "undecided".na.status field reflecting the status of missing
values (can also be actively set).na.status also to the list of helper
data passed on to temporal aggregation level functions.funby argument of the aggregate()
method now also accepts a named list of functions: allows
for calculating several summary statistics at once.periodicity field can now be actively set in order
to change the periodicity of the time series.timezone field can now be actively set in order to
convert the time zone of the series.DTSg object with only one timestamp
accepted a missing value in its .dateTime column.rollback() function in upcoming R
4.1.0.memoryOverCPU argument to the
rollapply() method: allows for preferring CPU over memory
usage which makes the method more flexible in terms of resource
consumption.DTSgClone in
e.g. .RProfile are now respected and not overwritten by
TRUE when the package is loaded.POSIXct .dateTime
columns to POSIXct upon object creation in case they
contained at least one missing value.tinytest
instead of the testthat package.resultCols and suffix arguments to
the colapply() and rollapply() methods: allows
for adding return values of applied functions as new columns instead of
replacing existing ones.class argument of the cols() method now
accepts a character vector of class names.class argument of the
cols() method from "all" to NULL,
however, for backward compatibility "all" can still be used
for the same result, but will eventually be treated as a filter for
classes of type all.pattern and ... arguments to the
cols() method: allows for searching column names.checkmate package instead of the
assertive.base, assertive.numbers,
assertive.sets and assertive.types
packages.dygraphs package in at least some releases of R
≤ 3.5.3.swallow argument to the new()
method: allows for a more resource efficient object creation.drop argument to the values()
method: allows for a resource efficient destruction of a
DTSg object while preserving its values.class argument to the values()
method: can be used to return the values of a DTSg object
as a data.frame instead of a data.table.alter() method and linked with it the
new() and other methods are now way more resource efficient
in some cases.timestamps field providing the total number of
timestamps.print() method now omits empty metadata
fields.covr package.xts from the suggested packages list (already
comes along with the dygraphs package).
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