RcppCCTZ 0.1.0

December 12, 2016

(This article was first published on Thinking inside the box , and kindly contributed to R-bloggers)

A new version 0.1.0 of RcppCCTZ arrived on CRAN this morning. It brings a number of new or updated things, starting with new upstream code from CCTZ as well as a few new utility functions.

CCTZ is a C++ library for translating between absolute and civil times using the rules of a time zone. In fact, it is two libraries. One for dealing with civil time: human-readable dates and times, and one for converting between between absolute and civil times via time zones. It requires only a proper C++11 compiler and the standard IANA time zone data base which standard Unix, Linux, OS X, … computers tend to have in /usr/share/zoneinfo. RcppCCTZ connects this library to R by relying on Rcpp.

A nice example is the helloMoon() function (based on an introductory example in the CCTZ documentation) showing the time when Neil Armstrong took a small step, relative to local time in New York and Sydney:

R> library(RcppCCTZ)
R> helloMoon(verbose=TRUE)
1969-07-20 22:56:00 -0400
1969-07-21 12:56:00 +1000
                   New_York                      Sydney 
"1969-07-20 22:56:00 -0400" "1969-07-21 12:56:00 +1000" 

The new formating and parsing functions are illustrated below with default arguments for format strings and timezones. All this can be customized as usual.

R> example(formatDatetime)

frmtDtR> now <- Sys.time()

frmtDtR> formatDatetime(now)            # current (UTC) time, in full precision RFC3339
[1] "2016-12-12T13:21:03.866711+00:00"

frmtDtR> formatDatetime(now, tgttzstr="America/New_York")  # same but in NY
[1] "2016-12-12T08:21:03.866711-05:00"

frmtDtR> formatDatetime(now + 0:4)     # vectorised
[1] "2016-12-12T13:21:03.866711+00:00" "2016-12-12T13:21:04.866711+00:00" "2016-12-12T13:21:05.866711+00:00"
[4] "2016-12-12T13:21:06.866711+00:00" "2016-12-12T13:21:07.866711+00:00"
R> example(parseDatetime)

prsDttR> ds <- getOption("digits.secs")

prsDttR> options(digits.secs=6) # max value

prsDttR> parseDatetime("2016-12-07 10:11:12",        "%Y-%m-%d %H:%M:%S");   # full seconds
[1] "2016-12-07 04:11:12 CST"

prsDttR> parseDatetime("2016-12-07 10:11:12.123456", "%Y-%m-%d %H:%M:%E*S"); # fractional seconds
[1] "2016-12-07 04:11:12.123456 CST"

prsDttR> parseDatetime("2016-12-07T10:11:12.123456-00:00")  ## default RFC3339 format
[1] "2016-12-07 04:11:12.123456 CST"

prsDttR> now <- trunc(Sys.time())

prsDttR> parseDatetime(formatDatetime(now + 0:4))               # vectorised
[1] "2016-12-12 07:21:17 CST" "2016-12-12 07:21:18 CST" "2016-12-12 07:21:19 CST"
[4] "2016-12-12 07:21:20 CST" "2016-12-12 07:21:21 CST"

prsDttR> options(digits.secs=ds)

Changes in this version are summarized here:

Changes in version 0.1.0 (2016-12-11)

  • Synchronized with CCTZ upstream.

  • New parsing and formating helpers for Datetime vectors

  • New parsing and formating helpers for (two) double vectors representing full std::chrono nanosecond resolutions

  • Updated documentation and examples.

We also have a diff to the previous version thanks to CRANberries. More details are at the RcppCCTZ page; code, issue tickets etc at the GitHub repository.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

To leave a comment for the author, please follow the link and comment on their blog: Thinking inside the box .

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)