Leonardo and I are happy to announce the release of another maintenance release 0.1.3 of our dtts package which has been on CRAN for a good two years now.
dtts builds upon our nanotime package as well as the beloved data.table to bring high-performance and high-resolution indexing at the nanosecond level to data frames. dtts aims to offers the time-series indexing versatility of xts (and zoo) to the immense power of data.table while supporting highest nanosecond resolution.
This release contains two nice and focussed contributed pull requests. Tomas Kalibera, who as part of R Core looks after everything concerning R on Windows, and then some, needed an adjustment for pending / upcoming R on Windows changes for builds with LLVM which is what Arm-on-Windows uses. We happily obliged: neither Leonardo nor I see much of Windows these decades. (Easy thing to say on a day like today with its crowdstrike hammer falling!) Similarly, Michael Chirico supplied a PR updating one of our tests to an upcoming change at data.table which we are of course happy to support.
The short list of changes follows.
Changes in version 0.1.3 (2024-07-18)
Courtesy of my CRANberries, there is also a report with diffstat for this release. Questions, comments, issue tickets can be brought to the GitHub repo. If you like this or other open-source work I do, you can now sponsor me at GitHub.
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.
Leonardo and I are happy to announce the release of a very minor maintenance release 0.1.2 of our dtts package which has been on CRAN for a little under two years now.
dtts builds upon our nanotime package as well as the beloved data.table to bring high-performance and high-resolution indexing at the nanosecond level to data frames. dtts aims to offers the time-series indexing versatility of xts (and zoo) to the immense power of data.table while supporting highest nanosecond resolution.
This release follows yesterday’s long-awaited release of data.table version 1.5.0 which had been some time in the making as the first new major.minor release since Matt drifted into being less active and the forefront. The release also renamed the one C-level API accessor to data.table (which was added, if memory serves, by Leonardo with our use in mind). So we have to catch up to the renamed identifier; this release does that, and adds a versioned imports statement on data.table.
The short list of changes follows.
Changes in version 0.1.2 (2024-01-31)
Update the one exported C-level identifier from data.table following its 1.5.0 release and a renaming
Routine continuous integration updates
Courtesy of my CRANberries, there is also a report with diffstat for this release. Questions, comments, issue tickets can be brought to the GitHub repo.
If you like this or other open-source work I do, you can now sponsor me at GitHub.
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.
Leonardo and I are happy to announce the release of a first follow-up release 0.1.1 of our dtts package which got to [CRAN][cran] in its initial upload last year.
dtts builds upon our nanotime package as well as the beloved data.table to bring high-performance and high-resolution indexing at the nanosecond level to data frames. dtts aims to bring the time-series indexing versatility of xts (and zoo) to the immense power of data.table while supporting highest nanosecond resolution.
This release fixes a bug flagged by valgrind and brings
several internal enhancements.
Changes in version 0.1.1 (2023-08-08)
A simplifcation was applied to the C++ interface glue code (#9 fixing #8)
The package no longer enforces the C++11 compilation standard (#10)
An uninitialized memory read has been correct (#11)
A new function
opshas been added (#12)Function names no longer start with a dot (#13)
Arbitrary index columns are now supported (#13)
Courtesy of my CRANberries, there is also a diffstat report for the this release this release. Questions, comments, issue tickets can be brought to the GitHub repo.
If you like this or other open-source work I do, you can now sponsor me at GitHub.
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.
Leonardo and I are thrilled to announce the first CRAN release of dtts. The dtts package builds on top of both our nanotime package and the well-loved and widely-used data.table package by Matt, Arun, Jan, and numerous collaborators.
In a very rough nutshell, you can think of dtts as combining both these potent ingredients to produce something not-entirely-unlike the venerable xts package by our friends Jeff and Josh—but using highest-precision nanosecond increments rather than not-quite-microseconds or dates.
The package is still somewhat rare and bare: it is mostly “just” alignment operators. But because of the power and genius of data.table not all that much more is needed because data.table gets us fifteen years of highly refined, tuned and tested code for data slicing, dicing, and aggregation. To which we now humbly add nanosecond-resolution indexing and alignment.
The package had been simmering for some time, and does of course take advantage of (a lot of) earlier work by Leonardo on his ztsdb project. We look forward to user feedback and suggestions at the GitHub repo.
If you like this or other open-source work I do, you can now sponsor me at GitHub.
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.