TALFs: Temporal Aggregation Level Functions (TALFs)

In gisler/DTSg: A Class for Working with Time Series Data Based on 'data.table' and 'R6' with Largely Optional Reference Semantics

Temporal Aggregation Level Functions (TALFs)

Description

Simply hand over one of these functions to the funby argument of one of the methods of a DTSg object, which supports it. The method then does the rest of the work. See respective calling method for further information. Other uses are possible, but not recommended.

Usage

byY_____(.dateTime, .helpers)

byYQ____(.dateTime, .helpers)

byYm____(.dateTime, .helpers)

byYmd___(.dateTime, .helpers)

byYmdH__(.dateTime, .helpers)

byYmdHM_(.dateTime, .helpers)

byYmdHMS(.dateTime, .helpers)

by______(.dateTime, .helpers)

by_Q____(.dateTime, .helpers)

by_m____(.dateTime, .helpers)

by___H__(.dateTime, .helpers)

by____M_(.dateTime, .helpers)

by_____S(.dateTime, .helpers)

byFasttimeY_____(.dateTime, .helpers)

byFasttimeYQ____(.dateTime, .helpers)

byFasttimeYm____(.dateTime, .helpers)

byFasttimeYmd___(.dateTime, .helpers)

byFasttimeYmdH__(.dateTime, .helpers)

byFasttimeYmdHM_(.dateTime, .helpers)

byFasttimeYmdHMS(.dateTime, .helpers)

byFasttime______(.dateTime, .helpers)

byFasttime_Q____(.dateTime, .helpers)

byFasttime_m____(.dateTime, .helpers)

byFasttime___H__(.dateTime, .helpers)

byFasttime____M_(.dateTime, .helpers)

byFasttime_____S(.dateTime, .helpers)

Arguments

.dateTime	A POSIXct vector.
.helpers	A list with helper data as handed over by methods of DTSg objects, which support the funby argument.

Value

All functions return a POSIXct vector with timestamps corresponding to the function's temporal aggregation level.

Families and flavours

There are two families of temporal aggregation level functions. The one family truncates timestamps (truncating family), the other extracts a certain part of them (extracting family). Each family comes in three flavours: the first relies solely on base R, the second utilises fasttime::fastPOSIXct of fasttime and the third RcppCCTZ::parseDatetime of RcppCCTZ.

The fasttime flavour works with UTC and equivalent as well as all Etc/GMT time zones only (execute grep("^(Etc/)?(UCT|UTC)$|^(Etc/)?GMT(\\+|-)?0?$", OlsonNames(), ignore.case = TRUE, value = TRUE) for a full list of supported time zones) and is limited to timestamps between the years 1970 and 2199, but generally is the fastest for the extracting family of functions. For time zones other than UTC and equivalent the RcppCCTZ flavour generally is the fastest.

Use the funbyApproach argument of the respective calling method in order to specify the utilised flavour.

The truncating family sets timestamps to the lowest possible point in time of the corresponding temporal aggregation level:

• byY_____ truncates to year, e.g. 2000-11-11 11:11:11.1 becomes 2000-01-01 00:00:00.0

• byYQ____ truncates to quarter, e.g. 2000-11-11 11:11:11.1 becomes 2000-10-01 00:00:00.0

• byYm____ truncates to month, e.g. 2000-11-11 11:11:11.1 becomes 2000-11-01 00:00:00.0

• byYmd___ truncates to day, e.g. 2000-11-11 11:11:11.1 becomes 2000-11-11 00:00:00.0

• byYmdH__ truncates to hour, e.g. 2000-11-11 11:11:11.1 becomes 2000-11-11 11:00:00.0

• byYmdHM_ truncates to minute, e.g. 2000-11-11 11:11:11.1 becomes 2000-11-11 11:11:00.0

• byYmdHMS truncates to second, e.g. 2000-11-11 11:11:11.1 becomes 2000-11-11 11:11:11.0

By convention, the extracting family sets the year to 2199 and extracts a certain part of timestamps:

• by______ extracts nothing, i.e. all timestamps become 2199-01-01 00:00:00.0

• by_Q____ extracts the quarters, e.g. 2000-11-11 11:11:11.1 becomes 2199-10-01 00:00:00.0

• by_m____ extracts the months, e.g. 2000-11-11 11:11:11.1 becomes 2199-11-01 00:00:00.0

• by___H__ extracts the hours, e.g. 2000-11-11 11:11:11.1 becomes 2199-01-01 11:00:00.0

• by____M_ extracts the minutes, e.g. 2000-11-11 11:11:11.1 becomes 2199-01-01 00:11:00.0

• by_____S extracts the seconds, e.g. 2000-11-11 11:11:11.1 becomes 2199-01-01 00:00:11.0

Please note that the ⁠byFasttime*⁠ versions are deprecated.

See Also

aggregate, colapply, subset

gisler/DTSg documentation built on Dec. 12, 2024, 1:23 a.m.