Convert input in any one of character, integer, numeric, factor, or ordered type into 'POSIXct' (or 'Date') objects, using one of a number of predefined formats, and relying on Boost facilities for date and time parsing.
Anything to 'POSIXct' or 'Date' Converter
R excels at computing with dates, and times. Using typed representation for your data is highly recommended not only because of the functionality offered but also because of the added safety stemming from proper representation.
But there is a small nuisance cost in interactive work as well as in programming. Users must have
told as.POSIXct() about a million times that the origin is (of course) the
epoch. Do we really have to say it a million more times?
Similarly, when parsing dates that are some form of YYYYMMDD format, do we really have to manually
convert from integer or numeric or factor or ordered to character? Having one of several
common separators and/or date / time month forms (YYYY-MM-DD, YYYY/MM/DD, YYYYMMDD, YYYY-mon-DD and
so on, with or without times), do we really need a format string? Or could a smart converter
function do this?
anytime() aims to be that general purpose converter returning a proper POSIXct (or Date)
object no matter the input (provided it was somewhat parseable), relying on
Boost date_time for the (efficient,
performant) conversion. anydate() is an additional wrapper returning a Date object instead.
We show some simple examples on Date types.
(Note that in the first few examples, and for numeric conversion in this range we now
only use anydate as anytime is consistent in computing seconds since epoch. If you want the
behaviour of version older than 0.3.0, set oldHeuristic=TRUE, see help(anytime) for more.)
library(anytime)options(digits.secs=6) ## for fractional seconds belowSys.setenv(TZ=anytime:::getTZ()) ## helper function to try to get TZ ## integeranydate(20160101L + 0:2) ## older version used anytime for this too[1] "2016-01-01 CST" "2016-01-02 CST" "2016-01-03 CST" ## numericanydate(20160101 + 0:2)[1] "2016-01-01 CST" "2016-01-02 CST" "2016-01-03 CST" ## factoranydate(as.factor(20160101 + 0:2))[1] "2016-01-01 CST" "2016-01-02 CST" "2016-01-03 CST" ## orderedanydate(as.ordered(20160101 + 0:2))[1] "2016-01-01 CST" "2016-01-02 CST" "2016-01-03 CST"## Dates: Characteranydate(as.character(20160101 + 0:2))[1] "2016-01-01 CST" "2016-01-02 CST" "2016-01-03 CST" ## Dates: alternate formatsanydate(c("20160101", "2016/01/02", "2016-01-03"))[1] "2016-01-01 CST" "2016-01-02 CST" "2016-01-03 CST"## Datetime: ISO with/without fractional secondsanytime(c("2016-01-01 10:11:12", "2016-01-01 10:11:12.345678"))[1] "2016-01-01 10:11:12.000000 CST" "2016-01-01 10:11:12.345678 CST" ## Datetime: ISO alternate (?) with 'T' separatoranytime(c("20160101T101112", "20160101T101112.345678"))[1] "2016-01-01 10:11:12.000000 CST" "2016-01-01 10:11:12.345678 CST"## ISO styleanytime(c("2016-Sep-01 10:11:12", "Sep/01/2016 10:11:12", "Sep-01-2016 10:11:12"))[1] "2016-09-01 10:11:12 CDT" "2016-09-01 10:11:12 CDT" "2016-09-01 10:11:12 CDT" ## Datetime: Mixed format (cf http://stackoverflow.com/questions/39259184)anytime(c("Thu Sep 01 10:11:12 2016", "Thu Sep 01 10:11:12.345678 2016"))[1] "2016-09-01 10:11:12.000000 CDT" "2016-09-01 10:11:12.345678 CDT"This shows an important aspect. When not working localtime (by overriding to UTC) the changing
difference UTC is correctly covered (which the underlying
Boost Date_Time library does not by
itself).
## Datetime: pre/post DSTanytime(c("2016-01-31 12:13:14", "2016-08-31 12:13:14"))[1] "2016-01-31 12:13:14 CST" "2016-08-31 12:13:14 CDT"anytime(c("2016-01-31 12:13:14", "2016-08-31 12:13:14"), tz="UTC") # important: catches change[1] "2016-01-31 18:13:14 UTC" "2016-08-31 17:13:14 UTC"The heavy lifting is done by a combination of Boost lexical_cast to go from anything to string representation which is then parsed by Boost Date_Time. We use the BH package to access Boost, and rely on Rcpp for a seamless C++ interface to and from R.
Should work as expected.
See the NEWS.Rd file on CRAN or GitHub. In particular, version 0.3.0 corrects an overly optimistic heuristic for integer or numeric arguments and now behaves more like R itself. Specifically, epoch offsets are interpreted as seconds for datetime objects, and days for date objects. The prior behaviour can be restored with an option which also be be set globally, see the help page for details.
The package is now on CRAN and can be installed via a standard
install.packages("anytime")Dirk Eddelbuettel
GPL (>= 2)