Sat, 24 Oct 2020

digest 0.6.27: Build fix

Exactly one week after the previous release 0.6.26 of digest, a minor cleanup release 0.6.27 just arrived on CRAN and will go to Debian shortly.

digest creates hash digests of arbitrary R objects (using the md5, sha-1, sha-256, sha-512, crc32, xxhash32, xxhash64, murmur32, spookyhash, and blake3 algorithms) permitting easy comparison of R language objects. It is a fairly widely-used package (currently listed at one million monthly downloads, 282 direct reverse dependencies and 8068 indirect reverse dependencies, or just under half of CRAN) as many tasks may involve caching of objects for which it provides convenient general-purpose hash key generation.

Release 0.6.26 brought support for the (nice, even cryptographic) blake3 hash algorithm. In the interest of broader buildability we had already (with a sad face) disabled a few very hardware-specific implementation aspects using intrinsic ops. But to our chagrin, we left one #error define that raised its head on everybody’s favourite CRAN build platform. Darn. So 0.6.27 cleans that up and also removes the check and #error as … all the actual code was already commented out. If you read this and tears start running down your cheeks, then by all means come and help us bring blake3 to its full (hardware-accelerated) potential. This (probably) only needs a little bit of patient work with the build options and configurations. You know where to find us…

My CRANberries provides the usual summary of changes to the previous version.

For questions or comments use the issue tracker off the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/digest | permanent link

Fri, 23 Oct 2020

RcppSpdlog 0.0.3: New features and much more docs

A good month after the initial two releases, we are thrilled to announce relase 0.0.3 of RcppSpdlog. This brings us release 1.8.1 of spdlog as well as a few local changes (more below).

RcppSpdlog bundles spdlog, a wonderful header-only C++ logging library with all the bells and whistles you would want that was written by Gabi Melman, and also includes fmt by Victor Zverovic.

This version of RcppSpdlog brings a new top-level function setLogLevel to control what events get logged, updates the main example to show this and to also make the R-aware logger the default logger, and adds both an extended vignette showing several key features and a new (external) package documentation site.

The NEWS entry for this release follows.

Changes in RcppSpdlog version 0.0.3 (2020-10-23)

  • New function setLogLevel with R accessor in exampleRsink example

  • Updated exampleRsink to use default logger instance

  • Upgraded to upstream release 1.8.1 which contains finalised upstream use to switch to REprintf() if R compilation detected

  • Added new vignette with extensive usage examples, added compile-time logging switch example

  • A package documentation website was added

Courtesy of my CRANberries, there is also a diffstat report. More detailed information is on the RcppSpdlog page.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Wed, 21 Oct 2020

RcppZiggurat 0.1.6

ziggurats

A new release, now at version 0.1.6, of RcppZiggurat is now on the CRAN network for R.

The RcppZiggurat package updates the code for the Ziggurat generator by Marsaglia and other which provides very fast draws from a Normal distribution. The package provides a simple C++ wrapper class for the generator improving on the very basic macros, and permits comparison among several existing Ziggurat implementations. This can be seen in the figure where Ziggurat from this package dominates accessing the implementations from the GSL, QuantLib and Gretl—all of which are still way faster than the default Normal generator in R (which is of course of higher code complexity).

This release brings a corrected seed setter and getter which now correctly take care of all four state variables, and not just one. It also corrects a few typos in the vignette. Both were fixed quite a while back, but we somehow managed to not ship this to CRAN for two years.

The NEWS file entry below lists all changes.

Changes in version 0.1.6 (2020-10-18)

  • Several typos were corrected in the vignette (Blagoje Ivanovic in #9).

  • New getters and setters for internal state were added to resume simulations (Dirk in #11 fixing #10).

  • Minor updates to cleanup script and Travis CI setup (Dirk).

Courtesy of my CRANberries, there is a diffstat report for this release. More information is on the RcppZiggurat page.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Tue, 20 Oct 2020

RcppArmadillo 0.10.1.0.0

armadillo image

Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use with a syntax deliberately close to a Matlab. RcppArmadillo integrates this library with the R environment and language–and is widely used by (currently) 786 other packages on CRAN.

A little while ago, Conrad released version 10.1.0 of Armadillo, a a new major release. As before, given his initial heads-up we ran two full reverse-depends checks, and as a consequence contacted four packages authors (two by email, two via PR) about a miniscule required change (as Armadillo now defaults to C++11, an old existing setting of avoiding C++11 lead to an error). Our thanks to those who promptly update their packages—truly appreciated. As it turns out, Conrad also softened the error by the time the release ran around.

But despite our best efforts, the release was delayed considerably by CRAN. We had made several Windows test builds but luck had it that on the uploaded package CRAN got itself a (completely spurious segfault—which can happen on a busy machine building machine things at once). Sadly it took three or four days for CRAN to reply our email. After which it took another number of days for them to ponder the behaviour of a few new ‘deprecated’ messaged tickled by at the most ten or so (out of 786) packages. Oh well. So here we are, eleven days after I emailed the rcpp-devel list about the new package being on CRAN but possibly delayed (due to that seg.fault). But during all that time the package was of course available via the Rcpp drat.

The changes in this release are summarized below as usual and are mostly upstream along with an improved Travis CI setup due to the aforementioned use of the bspm package for binaries at Travis.

Changes in RcppArmadillo version 0.10.1.0.0 (2020-10-09)

  • Upgraded to Armadillo release 10.1.0 (Orchid Ambush)

    • C++11 is now the minimum required C++ standard

    • faster handling of compound expressions by trimatu() and trimatl()

    • faster sparse matrix addition, subtraction and element-wise multiplication

    • expanded sparse submatrix views to handle the non-contiguous form of X.cols(vector_of_column_indices)

    • expanded eigs_sym() and eigs_gen() with optional fine-grained parameters (subspace dimension, number of iterations, eigenvalues closest to specified value)

    • deprecated form of reshape() removed from Cube and SpMat classes

    • ignore and warn on use of the ARMA_DONT_USE_CXX11 macro

  • Switch Travis CI testing to focal and BSPM

Courtesy of my CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the R-Forge page.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Sat, 17 Oct 2020

digest 0.6.26: Blake3 and Tuning

And a new version of digest is now on CRAN will go to Debian shortly.

digest creates hash digests of arbitrary R objects (using the md5, sha-1, sha-256, sha-512, crc32, xxhash32, xxhash64, murmur32, spookyhash, and blake3 algorithms) permitting easy comparison of R language objects. It is a fairly widely-used package (currently listed at 896k monthly downloads, 279 direct reverse dependencies and 8057 indirect reverse dependencies, or just under half of CRAN) as many tasks may involve caching of objects for which it provides convenient general-purpose hash key generation.

This release brings two nice contributed updates. Dirk Schumacher added support for blake3 (though we could probably push this a little harder for performance, help welcome). Winston Chang benchmarked and tuned some of the key base R parts of the package. Last but not least I flipped the vignette to the lovely minidown, updated the Travis CI setup using bspm (as previously blogged about in r4 #30), and added a package website using Matertial for MkDocs.

My CRANberries provides the usual summary of changes to the previous version.

For questions or comments use the issue tracker off the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/digest | permanent link

Wed, 14 Oct 2020

dang 0.0.12: Two new functions

A new release of the dang package is now on CRAN, roughly one year after the last release. The dang package regroups a few functions of mine that had no other home as for example lsos() from a StackOverflow question from 2009 (!!) is one, this overbought/oversold price band plotter from an older blog post is another. More recently added were helpers for data.table to xts conversion and a git repo root finder.

This release adds two functions. One was mentioned just days ago in a tweet by Nathan and is a reworked version of something Colin tweeted about a few weeks ago: a little data wrangling off the kewl rtweet to find maximally spammy accounts per search topic. In other words those who include more than ‘N’ hashtags for given search term. The other is something I, if memory serves, picked up a while back on one of the lists: a base R function to identify non-ASCII characters in a file. It is a C function that is not directly exported by and hence no accessible, so we put it here (with credits, of course). I mentioned it yesterday when announcing tidyCpp as I this C function was the starting point for the new tidyCpp wrapper around some C API of R functions.

The (very short) NEWS entry follows.

Changes in version 0.0.12 (2020-10-14)

  • New functions muteTweets and checkPackageAsciiCode.

  • Updated CI setup.

Courtesy of CRANberries, there is a comparison to the previous release. For questions or comments use the issue tracker off the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/dang | permanent link

Tue, 13 Oct 2020

tidyCpp 0.0.1: New package

A new package arrived on CRAN a few days ago. It offers a few headers files which wrap (parts) of the C API for R, but in a form that may be a little easier to use for C++ programmers. I have always liked how in Rcpp we offer good parts of the standalone R Math library in a namespace R::. While working recently with a particular C routine (for checking non-ASCII characters that will be part of the next version of the dang package which collecting various goodies in one place), I realized there may be value in collecting a few more such wrappers. So I started a few simple ones starting from simple examples.

Currently we have five headers defines.h, globals.h, internals.h, math.h, and shield.h. The first four each correpond to an R header file of the same or similar name, and the last one brings a simple yet effective alternative to PROTECT and UNPROTECT from Rcpp (in a slightly simplified way). None of the headers are “complete”, for internals.h in particular a lot more could be added (as I noticed today when experimenting with another source file that may be converted). All of the headers can be accessed with a simple #include <tidyCpp> (which, following another C++ convention, does not have a .h or .hpp suffix). And a the package ships these headers, packages desiring to use them only need LinkingTo: tidyCpp.

As usage examples, we (right now) have four files in the snippets/ directory of the package. Two of these, convolveExample.cpp and dimnamesExample.cpp both illustrate how one could change example code from Writing R Extensions. Then there are also a very simple defineExample.cpp and a shieldExample.cpp illustrating how much easier Shield() is compared to PROTECT and UNPROTECT.

Finally, there is a nice vignette discussing the package motivation with two detailed side-by-side ‘before’ and ‘after’ examples that are the aforementioned convolution and dimnames examples.

Over time, I expect to add more definitions and wrappers. Feedback would be welcome—it seems to hit a nerve already as it currently has more stars than commits even though (prior to this post) I had yet to tweet or blog about it. Please post comments and suggestions at the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/tidycpp | permanent link

Mon, 12 Oct 2020

GitHub Streak: Round Seven

Six years ago I referenced the Seinfeld Streak used in an earlier post of regular updates to to the Rcpp Gallery:

This is sometimes called Jerry Seinfeld’s secret to productivity: Just keep at it. Don’t break the streak.

and then showed the first chart of GitHub streaking 366 days:

github activity october 2013 to october 2014

And five years ago a first follow-up appeared in this post about 731 days:

github activity october 2014 to october 2015

And four years ago we had a followup at 1096 days

github activity october 2015 to october 2016

And three years ago we had another one marking 1461 days

github activity october 2016 to october 2017

And two years ago another one for 1826 days

github activity october 2017 to october 2018

And last year another one bringing it to 2191 days

github activity october 2018 to october 2019

And as today is October 12, here is the newest one from 2019 to 2020 with a new total of 2557 days:

github activity october 2018 to october 2019

Again, special thanks go to Alessandro Pezzè for the Chrome add-on GithubOriginalStreak.

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

/computers/misc | permanent link

Thu, 08 Oct 2020

RcppSimdJson 0.1.2: Upstream update

A new RcppSimdJson release arrived on CRAN yesterday bringing along the simdjson 0.5.0 release that happened a few weeks.

RcppSimdJson wraps the fantastic and genuinely impressive simdjson library by Daniel Lemire and collaborators. Via very clever algorithmic engineering to obtain largely branch-free code, coupled with modern C++ and newer compiler instructions, it results in parsing gigabytes of JSON parsed per second which is quite mindboggling. The best-case performance is ‘faster than CPU speed’ as use of parallel SIMD instructions and careful branch avoidance can lead to less than one cpu cycle per byte parsed; see the video of the talk by Daniel Lemire at QCon (also voted best talk).

Beside the upstream update, not too much happened to our package itself since 0.1.1 though Brandon did help one user to seriously speed up his JSON processing. The (this time very short) NEWS entry follows.

Changes in version 0.1.2 (2020-10-07)

  • Upgraded to simdjson 0.5.0 (Dirk #49)

Courtesy of my CRANberries, there is also a diffstat report for this release.

For questions, suggestions, or issues please use the issue tracker at the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Wed, 07 Oct 2020

littler 0.3.12: Exciting updates

max-heap image

The thirteenth release of littler as a CRAN package became available today (after a three day ‘rest’ at CRAN for no real reason), following in the fourteen-ish year history as a package started by Jeff in 2006, and joined by me a few weeks later.

littler is the first command-line interface for R as it predates Rscript. It allows for piping as well for shebang scripting via #!, uses command-line arguments more consistently and still starts faster. It also always loaded the methods package which Rscript only started to do in recent years.

littler lives on Linux and Unix, has its difficulties on macOS due to yet-another-braindeadedness there (who ever thought case-insensitive filesystems as a default where a good idea?) and simply does not exist on Windows (yet – the build system could be extended – see RInside for an existence proof, and volunteers are welcome!). See the FAQ vignette on how to add it to your PATH.

A few examples are highlighted at the Github repo, as well as in the examples vignette.

This release brings five new example scripts and command wrappers:

  • installDeps.r installs all dependencies of package (directory or tarball)
  • installRSPM.r relies on RSPM to install binary packages
  • installBSPM.r relies on BSPM to install binary packages (esp. on Linux)
  • cranIncomimg.r checks the incoming queue for one or more packages
  • urlUpdates.r checks and/or updates stale URLs leading to redirects

A number of commands were also extended or updated (see below for more). We have a new and very slick documentation website once again utilising Material for MkDocs. Last but not least the two included vignettes now use minidown and the fabulous water css theme—which reduced the file sizes of the two vignettes from, respectively, 884kb and 873kb to 47kb and 15kb. Yes, that is correct. That alone brought the package file size down from 641kb to 116kb. Incredible.

The NEWS file entry is below.

Changes in littler version 0.3.12 (2020-10-04)

  • Changes in examples

    • Updates to scripts tt.r, cos.r, cow.r, c4r.r, com.r

    • New script installDeps.r to install dependencies

    • Several updates tp script check.r

    • New script installBSPM.r and installRSPM.r for binary package installation (Dirk and Iñaki in #81)

    • New script cranIncoming.r to check in Incoming

    • New script urlUpdate.r validates URLs as R does

  • Changes in package

    • Travis CI now uses BSPM

    • A package documentation website was added

    • Vignettes now use minidown resulting in much reduced filesizes: from over 800kb to under 50kb (Dirk in #83)

My CRANberries provides a comparison to the previous release. Full details for the littler release are provided as usual at the ChangeLog page, and now also on the new package docs website. The code is available via the GitHub repo, from tarballs and now of course also from its CRAN page and via install.packages("littler"). Binary packages are available directly in Debian as well as soon via Ubuntu binaries at CRAN thanks to the tireless Michael Rutter.

Comments and suggestions are welcome at the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/littler | permanent link

Sat, 03 Oct 2020

pinp 0.0.10: More Tweaks

A new version of our pinp package arrived on CRAN two days ago, roughly one year after the previous release. The pinp package allows for snazzier one or two column Markdown-based pdf vignettes, and is now used by a few packages. A screenshot of the package vignette can be seen below. Additional screenshots are at the pinp page.

pinp vignette

This release adds another option for a customized date YAML variable suitable for e.g. a published at date thanks to Ilya Kashnitsky, has some tweaks to the README.md as well as support for pandoc columns mode (as a small extension of code from the nice repo by Grant McDermott).

The NEWS entry for this release follows.

Changes in pinp version 0.0.10 (2020-10-01)

  • New document_date YAML variable to optionally set a 'Published at' or alike date (Ilya Kashnitsky in #85).

  • Small tweaks to README.md (Dirk)

  • Support pandoc columns mode (Dirk in #88)

Courtesy of my CRANberries, there is a comparison to the previous release. More information is on the tint page. For questions or comments use the issue tracker off the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/pinp | permanent link

Sun, 27 Sep 2020

pkgKitten 0.2.0: Now with tinytest and new docs

kitten

A new release 0.2.0 of pkgKitten just hit on CRAN today, or about eleven months after the previous release.

This release brings support for tinytest by having pkgKitten::kitten() automagically call tinytest::puppy() if the latter package is installed (and the user did not opt out of calling it). So your newly created minimal package now also uses a wonderful yet tiny testing framework. We also added a new documentation site using the previously tweeted-about wrapper for Material for MkDocs I really dig. And last but not least we switched to BSPM-based Continued Integration (which I wrote about yesterday in R4 #30) and fixed one bug regarding the default NAMESPACE file.

Changes in version 0.2.0 (2020-09-27)

  • Continuous Integration uses the updated BSPM-based script on Travis and with GitHub Actions (Dirk in #11 plus earlier commits).

  • A new default NAMESPACE file is now installed (Dirk in #12).

  • A package documentation website was added (Dirk in #13).

  • Call tinytest::puppy if installed and not opted out (Dirk in #14).

More details about the package are at the pkgKitten webpage, the (new) pkgKitten docs site, and the pkgKitten GitHub repo.

Courtesy of my CRANberries site, there is also a diffstat report for this release.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/pkgkitten | permanent link

Sat, 26 Sep 2020

#30: Easy, Reliable, Fast and Portable Linux and macOS Continuous Integration

Welcome to the 30th post in the rarified R recommendation resources series or R4 for short. The last post introduced BSPM. In the four weeks since, we have worked some more on BSPM to bring it to the point where it is ready for use with continuous integration. Building on this, it is now used inside the run.sh script that driven our CI use for many years (via the r-travis repo).

Which we actually use right now on three different platforms:

All three use the exact same script facilitating this, and run a ‘matrix’ over Linux and macOS. You read this right: one CI setup that is portable and which you can take to your CI provider of choice. No lock-in or tie-in. Use what works, change at will. Or run on all three if you like burning extra cycles.

This is already used by handful of my repos as well as by at least two repos of friends also deploying r-travis. How does it work? In a nutshell we are

  • downloading run.sh via curl and changing its mode;
  • running run.sh bootstrap which sets the operating system default:
    • on Linux we use Ubuntu,
      • add two PPAs repos for R itself and over 4600 r-cran-* binaries,
      • and enable BSPM to use these from install.packages()
    • on macOS we use the standard setup also used on Travis, GitHub Actions and elsewhere;
    • this provides us with fast, reliable, easy, and portable access to binaries on two OSs under dependency resolution;
  • running run.sh install_deps to install just the requireded Depends:, Imports: and LinkingTo:
  • running run.sh tests to build the tarball and test it via R CMD check --as-cran.

There are several customizations that are possible via environment variables

  • additional PPAs or drat repos can be added to offer even more package choice;
  • alternatively one could run run.sh install_all to also install Suggests:;
  • optionally one could run run.sh install_r pkgA pkgB ... to install packages explicitly listed;
  • optionally one could also run run.sh install_aptget r-cran-pkga r-cran-pkgb otherpackage to add more Ubuntu binaries.

We find this setup compelling. The scheme is simple: there really is just one shell script behind it which can also be downloaded and altered. The scheme is also portable as we can (as shown) rotate between CI provides. The scheme is also more flexible: in case of debugging needs one can simply run the script on a local Docker or VM instance. Lastly, the scheme moves away from single points of failure or breakage.

Currently the script uses only BSPM as I had the hunch that it would a) work and b) be compelling. Adding support for RSPM would be equally easy, but I have no immediate need to do so. Adding BioConductor installation may be next. That is easy when BioConductor uses r-release; it may be little more challenging under r-devel to but it should work too. Stay tuned.

In the meantime, if the above sounds compelling, give run.sh from r-travis a go!

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/r4 | permanent link

Sun, 20 Sep 2020

RcppSpdlog 0.0.2: New upstream, awesome new stopwatch

Following up on the initial RcppSpdlog 0.0.1 release earlier this week, we are pumped to announce release 0.0.2. It contains upstream version 1.8.0 for spdlog which utilizes (among other things) a new feature in the embedded fmt library, namely completely automated formatting of high resolution time stamps which allows for gems like this (taken from this file in the package and edited down for brevity):

    spdlog::stopwatch sw;                                   // instantiate a stop watch

    // some other code

    sp->info("Elapsed time: {}", sw);

What we see is all there is: One instantiates a stopwatch object, and simply references it. The rest, as they say, is magic. And we get tic / toc alike behaviour in modern C++ at essentially no cost us (as code authors). So nice. Output from the (included in the package) function exampleRsink() (again edited down just a little):

R> RcppSpdlog::exampleRsink()
[13:03:23.845114] [fromR] [I] [thread 793264] Welcome to spdlog!
[...]
[13:03:23.845205] [fromR] [I] [thread 793264] Elapsed time: 0.000103611
[...]
[13:03:23.845281] [fromR] [I] [thread 793264] Elapsed time: 0.00018203
R> 

We see that the two simple logging instances come 10 and 18 microseconds into the call.

RcppSpdlog bundles spdlog, a wonderful header-only C++ logging library with all the bells and whistles you would want that was written by Gabi Melman, and also includes fmt by Victor Zverovic.

The NEWS entry for this release follows.

Changes in RcppSpdlog version 0.0.2 (2020-09-17)

  • Upgraded to upstream release 1.8.0

  • Switched Travis CI to using BSPM, also test on macOS

  • Added 'stopwatch' use to main R sink example

Courtesy of my CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppSpdlog page.

The only sour grapes, again, are once more over the CRAN processing. And just how 0.0.1 was delayed for no good reason for three weeks, 0.0.2 was delayed by three days just because … well that is how CRAN rules sometimes. I’d be even more mad if I had an alternative but I don’t. We remain grateful for all they do but they really could have let this one through even at one-day update delta. Ah well, now we’re three days wiser and of course nothing changed in the package.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Wed, 16 Sep 2020

RcppSpdlog 0.0.1: New and Exciting Logging Package

Very thrilled to announce a new package RcppSpdlog which is now on CRAN in its first release 0.0.1. We had tweeted once about the earliest version which had already caught the eyes of Gabi upstream.

RcppSpdlog bundles spdlog, a wonderful header-only C++ logging library with all the bells and whistles you would want that was written by Gabi Melman, and also includes fmt by Victor Zverovic.

I had meant to package this for a few years now but didn’t find an (easy, elegant) way to completely lift stdout / stderr and related uses which R wants us to remove for smoother operations from R itself including synchronized input/output. It was only a few weeks ago that I realized I should subclass a logger (or, more concretely, a sink for a logger) which could then use R input/output. With the right idea the implementaton was easy, and [Gabi]((https://github.com/gabime) was most helpful in making sure R CMD check would not see one or two remaining C++ i/o operations (which we currently do by not activating a default logger, and substituing REprintf() in one call). So this is now clean and sween and a simple use is included in an example in the package we can show here too (in slightly shorter form minus the documentation header):

// this portmanteau include also defines the r_sink we use below, and which
// diverts all logging to R via the Rcpp::Rcout replacement for std::cout
#include <RcppSpdlog>

// [[Rcpp::export]]
void exampleRsink() {

    std::string logname = "fromR";                          // fix a name for this logger
    auto sp = spdlog::get(logname);                         // retrieve existing one
    if (sp == nullptr) sp = spdlog::r_sink_mt(logname);     // or create new one if needed

    // change log pattern (changed from [%H:%M:%S %z] [%n] [%^---%L---%$] )
    sp->set_pattern("[%H:%M:%S.%f] [%n] [%^%L%$] [thread %t] %v");

    sp->info("Welcome to spdlog!");
    sp->error("Some error message with arg: {}", 1);

    sp->warn("Easy padding in numbers like {:08d}", 12);
    sp->critical("Support for int: {0:d};  hex: {0:x};  oct: {0:o}; bin: {0:b}", 42);
    sp->info("Support for floats {:03.2f}", 1.23456);
    sp->info("Positional args are {1} {0}..", "too", "supported");
    sp->info("{:<30}", "left aligned");

}

The NEWS entry for the first release follows.

Changes in RcppSpdlog version 0.0.1 (2020-09-08)

  • Initial release with added R/Rcpp logging sink example

The only sour grapes, if any, are over the CRAN processing. This was originally uploaded three weeks ago. As a new package, it got extra attention and some truly idiosyncratic attention to two details that were already supplied in the first uploaded version. Yet it needed two rounds of going back and forth for really no great net gain, yet wasting a week each time. I am not all that impressed by this, and not particularly pleased either, but I presume is the “tax” we all pay in order to enjoy the unsurpassed richness of the CRAN repository system which continues to work just flawlessly.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Sun, 06 Sep 2020

inline 0.3.16: Now with system2()

A new minor release of the inline package just arrived on CRAN. inline facilitates writing code in-line in simple string expressions or short files. The package is mature and stable, and can be considered to be in maintenance mode: Rcpp used it extensively in the vrey early days before Rcpp Attributes provided an even better alternative. Seveal other package still rely on inline.

One of these package is rstan, and Ben Goodrich updated our use of system() to system2() allowing for better error diagnostics. We also did a bit of standard maintenance to Travis CI and the README.md file.

See below for a detailed list of changes extracted from the NEWS file.

Changes in inline version 0.3.16 (2020-09-06)

  • Maintenance updates to README.md standardizing badges (Dirk).

  • Maintenance update to Travis CI setup (Dirk).

  • Switch to using system2() for better error diagnostics (Ben Goodrich in #12).

Courtesy of CRANberries, there is a comparison to the previous release.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/inline | permanent link

Fri, 04 Sep 2020

nanotime 0.3.2: Tweaks

Another (minor) nanotime release, now at version 0.3.2. This release brings an endianness correction which was kindly contributed in a PR, switches to using the API header exported by RcppCCTZ, and tweaks test coverage a little with respect to r-devel.

nanotime relies on the RcppCCTZ package for (efficient) high(er) resolution time parsing and formatting up to nanosecond resolution, and the bit64 package for the actual integer64 arithmetic. Initially implemented using the S3 system, it has benefitted greatly from work by co-author Leonardo who not only rejigged nanotime internals in S4 but also added new S4 types for periods, intervals and durations.

The NEWS snippet adds full details.

Changes in version 0.3.2 (2020-09-03)

  • Correct for big endian (Elliott Sales de Andrade in #81).

  • Use the RcppCCTZ_API.h header (Dirk in #82).

  • Conditionally reduce test coverage (Dirk in #83).

Thanks to CRANberries there is also a diff to the previous version. More details and examples are at the nanotime page; code, issue tickets etc at the GitHub repository.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/nanotime | permanent link

Thu, 03 Sep 2020

RcppArmadillo 0.9.900.3.0

armadillo image

Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use with a syntax deliberately close to a Matlab. RcppArmadillo integrates this library with the R environment and language–and is widely used by (currently) 769 other packages on CRAN.

A few days ago, Conrad released a new minor version 9.900.3 of Armadillo which we packaged and tested as usual. Given the incremental release character, we only tested the release and not candidate release. No regressions were found, and, as usual, logs from reverse-depends runs are in the rcpp-logs repo.

All changes in the new release are noted below.

Changes in RcppArmadillo version 0.9.900.3.0 (2020-09-02)

  • Upgraded to Armadillo release 9.900.3 (Nocturnal Misbehaviour)

    • More efficient code for initialising matrices with fill::zeros

    • Fixes for various error messages

Courtesy of CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the R-Forge page.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Sun, 30 Aug 2020

RcppCCTZ 0.2.9: API Header Added

A new minor release 0.2.9 of RcppCCTZ is now on CRAN.

RcppCCTZ uses Rcpp to bring CCTZ to R. 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. And while CCTZ is made by Google(rs), it is not an official Google product. The RcppCCTZ page has a few usage examples and details. This package was the first CRAN package to use CCTZ; by now at least three others do—using copies in their packages which remains less than ideal.

This version adds a header file for the recently-exported three functions.

Changes in version 0.2.9 (2020-08-30)

  • Provide a header RcppCCZT_API.h for client packages.
  • Show a simple example of parsing a YYYYMMDD HHMMSS.FFFFFF date.

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.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

RcppSMC 0.2.2: Small updates

A new release 0.2.2 of the RcppSMC package arrived on CRAN earlier today (and once again as a very quick pretest-publish within minutes of submission).

RcppSMC provides Rcpp-based bindings to R for the Sequential Monte Carlo Template Classes (SMCTC) by Adam Johansen described in his JSS article. Sequential Monte Carlo is also referred to as Particle Filter in some contexts.

This releases contains two fixes from a while back that had not been released, a CRAN-requested update plus a few more minor polishes to make it pass R CMD check --as-cran as nicely as usual.

Changes in RcppSMC version 0.2.2 (2020-08-30)

  • Package helper files .editorconfig added (Adam in #43).

  • Change const correctness and add return (Leah in #44).

  • Updates to continuous integration and R versions used (Dirk)

  • Accomodate CRAN request, other updates to CRAN Policy (Dirk in #49 fixing #48).

Courtesy of CRANberries, there is a diffstat report for this release.

More information is on the RcppSMC page. Issues and bugreports should go to the GitHub issue tracker.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Fri, 28 Aug 2020

anytime 0.3.9: More Minor Maintenance

A new minor release of the anytime package arrived on CRAN yesterday. This is the twentieth release, but sadly we seem to be spinning our wheels just accomodating CRAN (which the two or three last releases focused on). Code and functionality remain mature and stable, of course.

anytime is a very focused package aiming to do just one thing really well: to convert anything in integer, numeric, character, factor, ordered, … format to either POSIXct or Date objects – and to do so without requiring a format string as well as accomodating different formats in one input vector. See the anytime page, or the GitHub README.md for a few examples.

This release once again has to play catchup with CRAN as r-devel now changes how tzone propagates when we do as.POSIXct(as.POSIXlt(Sys.time()) — which is now no longer “equal” to as.POSIXct(Sys.time()) even for a fixed, stored Sys.time() call result. Probably for the better, but an issue for now so we … effectively just reduced test coverage. Call it “progress”.

The full list of changes follows.

Changes in anytime version 0.3.9 (2020-08-26)

  • Skip one test file that is impossible to run across different CRAN setups, and life is definitely too short for these games.

  • Change remaining http:// to https:// because, well, you know.

Courtesy of CRANberries, there is a comparison to the previous release. More information is on the anytime page. The issue tracker tracker off the GitHub repo can be use for questions and comments.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/anytime | permanent link

Wed, 26 Aug 2020

#29: Easy, Reliable, Fast Linux CRAN Binaries via BSPM

Welcome to the 29th post in the randomly repeating R recommendations series or R4 for short. Our last post #28 introduced RSPM, and just before that we also talked in #27 about binary installations on Ubuntu (which was also a T4 video). This post is joined with Iñaki Ucar and mainly about work we have done with his bspm package.

Background

CRAN has been a cornerstone of the success of R in recent years. As a well-maintained repository with stringent quality control, it ensures users have access to highest-quality statistical / analytical software that “just works”. Users on Windows and macOS also benefit from faster installation via pre-compiled binary packages.

Linux users generally install from source, which can be more tedious and, often, much slower. Those who know where to look have had access to (at least some) binaries for years as well (and one of us blogged and vlogged about this at length). Debian users get close to 1000 CRAN and BioConductor packages (and, true to Debian form, for well over a dozen hardware platforms). Michael Rutter maintains a PPA with 4600 binaries for three different Ubuntu flavors (see c2d4u4.0+). More recently, Fedora joined the party with 16000 (!!) binaries, essentially all of CRAN, via a Copr repository (see iucar/cran).

The buzz currently is however with RSPM, a new package manager by RStudio. An audacious project, it provides binaries for several Linux distributions and releases. It has already been tested in many RStudio Cloud sessions (including with some of our students) as well as some CI integrations.

RSPM cuts “across” and takes the breadth of CRAN across several Linux distributions, bringing installation of pre-built CRAN packages a binaries under their normal CRAN package names. Another nice touch is the integration with install.packages(): these binaries are installed in a way that is natural for R users—but as binaries. It is however entirely disconnected from the system package management. This means that the installation of a package requiring an external library may “succeed” and still fail, as a required library simply cannot be pulled in directly by RSPM.

So what is needed is a combination. We want binaries that are aware of their system dependencies but accessible directly from R just like RSPM offers it. Enter BSPM—the Bridge to System Package Manager package (also on CRAN).

The first illustration (using Ubuntu 18.04) shows RSPM on the left, and BSPM on the right, both installing the graphics package Cairo (and both using custom Rocker containers).

This fails for RSPM as no binary is present and a source build fails for the familiar lack of a -dev package. It proceeds just fine on the right under BSPM.

A second illustration shows once again RSPM on the left, and BSPM on the right (this time on Fedora), both installing the units package without a required system dependency.

The installation of units works for BSPM as the dependency libudunits is brought in, but fails under RSPM. The binary installation succeeds in both cases, but the missing dependency (the UDUNITS2 library) is brought in only by BSPM. Consequently, the package fails to load under RSPM.

Summary

To conclude, highlights of BSPM are:

  • direct installation of binary packages from R via R commands under their normal CRAN names (just like RSPM);
  • full integration with the system package manager, delivering system installations (improving upon RSPM);
  • full dependency resolution for R packages, including system requirements (improving upon RSPM).

This offers easy, reliable, fast installation of R packages, and we invite you to pick all three. We recommend usage with either Ubuntu with the 4.6k packages via the Rutter PPA, or Fedora via the even more complete Copr repository (which already includes a specially-tailored version of BSPM called CoprManager).

We hope this short note wets your appetite to learn more about bspm (which is itself on CRAN) and the two sets of Rocker containers shown. The rocker/r-rspm container comes in two two flavours for Ubuntu 18.04 and 20.04. Similarly, the rocker/r-bspm container comes in the same two two flavours for Ubuntu 18.04 and 20.04, as well as in a Debian testing variant.

Feedback is appreciated at the bspm or rocker issue trackers.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/r4 | permanent link

Tue, 11 Aug 2020

RcppSimdJson 0.1.1: More Features

A first update following for the exciting RcppSimdJson 0.1.0 release last month is now on CRAN. Version 0.1.1 brings further enhancements such direct parsing of raw chars, working with compressed files as well as much expanded querying ability all thanks to Brendan, some improvements to our demos thanks to Daniel as well as a small fix via a one-liner borrowed from upstream for a reported UBSAN issue.

RcppSimdJson wraps the fantastic and genuinely impressive simdjson library by Daniel Lemire and collaborators. Via very clever algorithmic engineering to obtain largely branch-free code, coupled with modern C++ and newer compiler instructions, it results in parsing gigabytes of JSON parsed per second which is quite mindboggling. The best-case performance is ‘faster than CPU speed’ as use of parallel SIMD instructions and careful branch avoidance can lead to less than one cpu cycle use per byte parsed; see the video of the talk by Daniel Lemire at QCon (also voted best talk).

The detailed list of changes follows.

Changes in version 0.1.1 (2020-08-10)

  • Corrected incorrect file deletion when mixing local and remote files (Brendan in #34) closing #33.

  • Added support for raw vectors, compressed files, and compressed downloads (Dirk and Brendan in #36, #39, and #45 closing #35 and addressing issues raised in #40 and #44).

  • Examples in two demos are now more self-sufficient (Daniel Lemire and Dirk in #42).

  • Expanded query functionality to include single, flat, and nested queries (Brendan in #45 closing #43).

  • Split error handling parameters from error_ok/on_error into parse_error_ok/on_parse_error and query_error_ok/on_query_error (Brendan in #45).

  • One-line upstream change to address sanitizer error on cast.

Courtesy of CRANberries, there is also a diffstat report for this release.

For questions, suggestions, or issues please use the issue tracker at the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Mon, 10 Aug 2020

nanotime 0.3.1: Misc Build Fixes for Yuge New Features!

The nanotime 0.3.0 release four days ago was so exciting that we decided to do it again! Kidding aside, and fairly extensive tests notwithstanding we were bitten by a few build errors: who knew clang on macOS needed extra curlies to be happy, another manifestation of Solaris having no idea what a timezone setting “America/New_York” is, plus some extra pickyness from the SAN tests and whatnot. So Leonardo and I gave it some extra care over the weekend, uploaded it late yesterday and here we are with 0.3.1. Thanks again to CRAN for prompt processing even though they are clearly deluged shortly before their (brief) summer break.

nanotime relies on the RcppCCTZ package for (efficient) high(er) resolution time parsing and formatting up to nanosecond resolution, and the bit64 package for the actual integer64 arithmetic. Initially implemented using the S3 system, it has benefitted greatly from work by Leonardo Silvestri who rejigged internals in S4—and now added new types for periods, intervals and durations.

The NEWS snippet adds full details.

Changes in version 0.3.1 (2020-08-09)

  • Several small cleanups to ensure a more robust compilation (Leonardo and Dirk in #75 fixing #74).

  • Show Solaris some extra love by skipping tests and examples with a timezone (Dirk in #76).

Thanks to CRANberries there is also a diff to the previous version. More details and examples are at the nanotime page; code, issue tickets etc at the GitHub repository.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/nanotime | permanent link

Fri, 07 Aug 2020

RVowpalWabbit 0.0.15: Some More CRAN Build Issues

Another maintenance RVowpalWabbit package update brought us to version 0.0.15 earlier today. We attempted to fix one compilation error on Solaris, and addressed a few SAN/UBSAN issues with the gcc build.

As noted before, there is a newer package rvw based on the excellent GSoC 2018 and beyond work by Ivan Pavlov (mentored by James and myself) so if you are into Vowpal Wabbit from R go check it out.

CRANberries provides a summary of changes to the previous version. More information is on the RVowpalWabbit page. Issues and bugreports should go to the GitHub issue tracker.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rvowpalwabbit | permanent link

Thu, 06 Aug 2020

nanotime 0.3.0: Yuge New Features!

A fresh major release of the nanotime package for working with nanosecond timestamps is hitting CRAN mirrors right now.

nanotime relies on the RcppCCTZ package for (efficient) high(er) resolution time parsing and formatting up to nanosecond resolution, and the bit64 package for the actual integer64 arithmetic. Initially implemented using the S3 system, it has benefitted greatly from work by Leonardo Silvestri who rejigged internals in S4—and now added new types for periods, intervals and durations. This is what is commonly called a big fucking deal!! So a really REALLY big thank you to my coauthor Leonardo for all these contributions.

With all these Yuge changes patiently chisseled in by Leonardo, it took some time since the last release and a few more things piled up. Matt Dowle corrected something we borked for integration with the lovely and irreplacable data.table. We also switched to the awesome yet minimal tinytest package by Mark van der Loo, and last but not least we added the beginnings of a proper vignette—currently at nine pages but far from complete.

The NEWS snippet adds full details.

Changes in version 0.3.0 (2020-08-06)

  • Use tzstr= instead of tz= in call to RcppCCTZ::parseDouble()) (Matt Dowle in #49).

  • Add new comparison operators for nanotime and charcters (Dirk in #54 fixing #52).

  • Switch from RUnit to tinytest (Dirk in #55)

  • Substantial functionality extension in with new types nanoduration, nanoival and nanoperiod (Leonardo in #58, #60, #62, #63, #65, #67, #70 fixing #47, #51, #57, #61, #64 with assistance from Dirk).

  • A new (yet still draft-ish) vignette was added describing the four core types (Leonardo and Dirk in #71).

  • A required compilation flag for Windows was added (Leonardo in #72).

  • RcppCCTZ function are called in new 'non-throwing' variants to not trigger exeception errors (Leonardo in #73).

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

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/nanotime | permanent link

Tue, 04 Aug 2020

RcppCCTZ 0.2.8: Minor API Extension

A new minor release 0.2.8 of RcppCCTZ is now on CRAN.

RcppCCTZ uses Rcpp to bring CCTZ to R. 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. And while CCTZ is made by Google(rs), it is not an official Google product. The RcppCCTZ page has a few usage examples and details. This package was the first CRAN package to use CCTZ; by now at least three others do—using copies in their packages which remains less than ideal.

This version adds three no throw variants of three existing functions, contributed again by Leonardo. This will be used in an upcoming nanotime release which we are finalising now.

Changes in version 0.2.8 (2020-08-04)

  • Added three new nothrow variants (for win32) needed by the expanded nanotime package (Leonardo in #37)

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.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Tue, 28 Jul 2020

Installing and Running Ubuntu on a 2015-ish MacBook Air

So a few months ago kiddo one dropped an apparently fairly large cup of coffee onto her one and only trusted computer. With a few months (then) to graduation (which by now happened), and with the apparent “genuis bar” verdict of “it’s a goner” a new one was ordered. As it turns out this supposedly dead one coped well enough with the coffee so that after a few weeks of drying it booted again. But give the newer one, its apparent age and whatnot, it was deemed surplus. So I poked around a little on the interwebs and conclude that yes, this could work.

Fast forward a few months and I finally got hold of it, and had some time to play with it. First, a bootable usbstick was prepared, and the machine’s content was really (really, and check again: really) no longer needed, I got hold of it for good.

tl;dr It works just fine. It is a little heavier than I thought (and isn’t “air” supposed to be weightless?) The ergonomics seem quite nice. The keyboard is decent. Screen-resolution on this pre-retina simple Air is so-so at 1440 pixels. But battery live seems ok and e.g. the camera is way better than what I have in my trusted Lenovo X1 or at my desktop. So just as a zoom client it may make a lot of sense; otherwise just walking around with it as a quick portable machine seems perfect (especially as my Lenovo X1 still (ahem) suffers from one broken key I really need to fix…).

Below are some lightly edited notes from the installation. Initial steps were quick: maybe an hour or less? Customizing a machine takes longer than I remembered, this took a few minutes here and there quite a few times, but always incremental.

Initial Steps

  • Download of Ubuntu 20.04 LTS image: took a few moments, even on broadband, feels slower than normal (fast!) Ubuntu package updates, maybe lesser CDN or bad luck

  • Startup Disk Creator using a so-far unused 8gb usb drive

  • Plug into USB, recycle power, press “Option” on macOS keyboard: voila

  • After a quick hunch… no to ‘live/test only’ and yes to install, whole disk

  • install easy, very few questions, somehow skips wifi

  • so activate wifi manually — and everythings pretty much works

Customization

  • First deal with ‘fn’ and ‘ctrl’ key swap. Install git and followed this github repo which worked just fine. Yay. First (manual) Linux kernel module build needed need in … half a decade? Longer?

  • Fire up firefox, go to ‘download chrome’, install chrome. Sign in. Turn on syncing. Sign into Pushbullet and Momentum.

  • syncthing which is excellent. Initially via apt, later from their PPA. Spend some time remembering how to set up the mutual handshakes between devices. Now syncing desktop/server, lenovo x1 laptop, android phone and this new laptop

  • keepassx via apt and set up using Sync/ folder. Now all (encrypted) passwords synced.

  • Discovered synergy now longer really free, so after a quick search found and installed barrier (via apt) to have one keyboard/mouse from desktop reach laptop.

  • Added emacs via apt, so far ‘empty’, so config files yet

  • Added ssh via apt, need to propagate keys to github and gitlab

  • Added R via add-apt-repository --yes "ppa:marutter/rrutter4.0" and add-apt-repository --yes "ppa:c2d4u.team/c2d4u4.0+". Added littler and then RStudio

  • Added wajig (apt frontend) and byobu, both via apt

  • Created ssh key, shipped it to server and github + gitlab

  • Cloned (not-public) ‘dotfiles’ repo and linked some dotfiles in

  • Cloned git repo for nord-theme for gnome terminal and installed it; also added it to RStudio via this repo

  • Emacs installed, activated dotfiles, then incrementally install a few elpa-* packages and a few M-x package-install including nord-theme, of course

  • Installed JetBrains Mono font from my own local package; activated for Gnome Terminal and Emacs

  • Install gnome-tweak-tool via apt, adjusted a few settings

  • Ran gsettings set org.gnome.desktop.wm.preferences focus-mode 'sloppy'

  • Set up camera following this useful GH repo

  • At some point also added slack and zoom, because, well, it is 2020

  • STILL TODO:

    • docker
    • bother with email setup?,
    • maybe atom/code/…?

/computers/misc | permanent link

ttdo 0.0.6: Bugfix

A bugfix release of our (still small) ttdo package arrived on CRAN overnight. As introduced last fall, the ttdo package extends the most excellent (and very minimal / zero depends) unit testing package tinytest by Mark van der Loo with the very clever and well-done diffobj package by Brodie Gaslam to give us test results with visual diffs:

ttdo screenshot

This release corrects a minor editing error spotted by the ever-vigilant John Blischak.

The NEWS entry follow.

Changes in ttdo version 0.0.6 (2020-07-27)

  • Correct a minor editing mistake spotted by John Blischak.

CRANberries provides the usual summary of changes to the previous version. Please use the GitHub repo and its issues for any questions.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/ttdo | permanent link

Fri, 24 Jul 2020

anytime 0.3.8: Minor Maintenance

A new minor release of the anytime package arrived on CRAN overnight. This is the nineteenth release, and it comes just over six months after the previous release giving further indicating that we appear to have reached a nice level of stability.

anytime is a very focused package aiming to do just one thing really well: to convert anything in integer, numeric, character, factor, ordered, … format to either POSIXct or Date objects – and to do so without requiring a format string. See the anytime page, or the GitHub README.md for a few examples.

This release mostly plays games with CRAN. Given the lack of specification for setups on their end, reproducing test failures remains, to put it mildly, “somewhat challenging”. So we eventually gave up—and weaponed up once more and now explicitly test for the one distribution where tests failed (when they clearly passed everywhere else). With that we now have three new logical predicates for various Linux distribution flavours, and if that dreaded one is seen in one test file the test is skipped. And with that we now score twelve out of twelve OKs. This being a game of cat and mouse, I am sure someone somewhere will soon invent a new test…

The full list of changes follows.

Changes in anytime version 0.3.8 (2020-07-23)

  • A small utility function was added to detect the Linux distribution used in order to fine-tune tests once more.

  • Travis now uses Ubuntu 'bionic' and R 4.0.*.

Courtesy of CRANberries, there is a comparison to the previous release. More information is on the anytime page. The issue tracker tracker off the GitHub repo can be use for questions and comments.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/anytime | permanent link

Sat, 18 Jul 2020

tint 0.1.3: Fixes for html mode, new demo

A new version 0.1.3 of the tint package arrived at CRAN today. It corrects some features for html output, notably margin notes and references. It also contains a new example for inline references.

The full list of changes is below.

Changes in tint version 0.1.3 (2020-07-18)

  • A new minimal demo was added showing inline references (Dirk addressing #42).

  • Code for margin notes and reference in html mode was updated with thanks to tufte (Dirk in #43 and #44 addressing #40).

  • The README.md was updated with a new 'See Also' section and a new badge.

Courtesy of CRANberries, there is a comparison to the previous release. More information is on the tint page.

For questions or comments use the issue tracker off the GitHub repo.

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

/code/tint | permanent link

drat 0.1.8: Minor test fix

drat user

A new version of drat arrived on CRAN today. This is a follow-up release to 0.1.7 from a week ago. It contains a quick follow-up by Felix Ernst to correct on of the tests which misbehaved under the old release of R still being tested at CRAN.

drat stands for drat R Archive Template, and helps with easy-to-create and easy-to-use repositories for R packages. Since its inception in early 2015 it has found reasonably widespread adoption among R users because repositories with marked releases is the better way to distribute code.

As your mother told you: Friends don’t let friends install random git commit snapshots. Rolled-up releases it is. drat is easy to use, documented by five vignettes and just works.

The NEWS file summarises the release as follows:

Changes in drat version 0.1.8 (2020-07-18)

  • The archive pruning test code was corrected for r-oldrel (Felix Ernst in #105 fixing #104).

Courtesy of CRANberries, there is a comparison to the previous release. More detailed information is on the drat page.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/drat | permanent link

Fri, 17 Jul 2020

RcppArmadillo 0.9.900.2.0

armadillo image

Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use with a syntax deliberately close to a Matlab. RcppArmadillo integrates this library with the R environment and language–and is widely used by (currently) 757 other packages on CRAN.

Conrad just released a new minor upstream version 9.900.2 of Armadillo which we packaged and tested as usual first as a ‘release candidate’ build and then as the release. As usual, logs from reverse-depends runs are in the rcpp-logs repo.

All changes in the new release are noted below.

Changes in RcppArmadillo version 0.9.900.2.0 (2020-07-17)

  • Upgraded to Armadillo release 9.900.2 (Nocturnal Misbehaviour)

    • In sort(), fixes for inconsistencies between checks applied to matrix and vector expressions

    • In sort(), remove unnecessary copying when applied in-place to vectors function when applied in-place to vectors

Courtesy of CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the R-Forge page.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Sat, 11 Jul 2020

drat 0.1.7: New functionality

drat user

A new version of drat arrived on CRAN yesterday. Once again, this release is mostly the work of Felix Ernst who extended some work from the previous release, and added support for repository updates (outside of package insertion) and more.

drat stands for drat R Archive Template, and helps with easy-to-create and easy-to-use repositories for R packages. Since its inception in early 2015 it has found reasonably widespread adoption among R users because repositories with marked releases is the better way to distribute code.

As your mother told you: Friends don’t let friends install random git commit snapshots. Rolled-up releases it is. drat is easy to use, documented by five vignettes and just works.

The NEWS file summarises the release as follows:

Changes in drat version 0.1.7 (2020-07-10)

  • Functions insertPackages, archivePackages and prunePackages are now vectorised (Patrick Schratz and Felix Ernst in #93, #100).

  • The new functionality is supported by unit tests (Felix Ernst in #93, and #102 fixing #101).

  • Added new function updateRepo (Felix Ernst in #95, #97).

Courtesy of CRANberries, there is a comparison to the previous release. More detailed information is on the drat page.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/drat | permanent link

Tue, 07 Jul 2020

RcppSimdJson 0.1.0: Now on Windows, With Parsers and Faster Still!

A smashing new RcppSimdJson release 0.1.0 containing several small updates to upstream simdjson (now at 0.4.6) in part triggered by very excisting work by Brendan who added actual parser from file and string—and together with Daniel upstream worked really hard to make Windows builds as well as complete upstream tests on our beloved (ahem) MinGW platform possible. So this version will, once the builders have caught up, give everybody on Windows a binary—with a JSON parser running circles around the (arguably more feature-rich and possibly easier-to-use) alternatives. Dave just tweeted a benchmark snippet by Brendan, the full set is at the bottom our issue ticket for this release.

RcppSimdJson wraps the fantastic and genuinely impressive simdjson library by Daniel Lemire and collaborators, which in its upstream release 0.4.0 improved once more (also see the following point releases). Via very clever algorithmic engineering to obtain largely branch-free code, coupled with modern C++ and newer compiler instructions, it results in parsing gigabytes of JSON parsed per second which is quite mindboggling. The best-case performance is ‘faster than CPU speed’ as use of parallel SIMD instructions and careful branch avoidance can lead to less than one cpu cycle use per byte parsed; see the video of the recent talk by Daniel Lemire at QCon (which was also voted best talk).

As mentioned, this release expands the reach of the package to Windows, and adds new user-facing functions. A big thanks for most of this is owed to Brendan, so buy him a drink if you run across him. The full NEWS entry follows.

Changes in version 0.1.0 (2020-07-07)

  • Upgraded to simdjson 0.4.1 which adds upstream Windows support (Dirk in #27 closing #26 and #14, plus extensive work by Brendan helping upstream with mingw tests).

  • Upgraded to simdjson 0.4.6 with further upstream improvements (Dirk in #30).

  • Change Travis CI to build matrix over g++ 7, 8, 9, and 10 (Dirk in #31; and also Brendan in #32).

  • New JSON functions fparse and fload (Brendan in #32) closing #18 and #10).

Courtesy of CRANberries, there is also a diffstat report for this release.

For questions, suggestions, or issues please use the issue tracker at the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

AsioHeaders 1.16.1-1 on CRAN

An updated version of the AsioHeaders package arrived on CRAN today (after a we days of “rest” in the incoming directory of CRAN). Asio provides a cross-platform C++ library for network and low-level I/O programming. It is also included in Boost – but requires linking when used as part of Boost. This standalone version of Asio is a header-only C++ library which can be used without linking (just like our BH package with parts of Boost).

This release brings a new upstream version. Its changes required a corresponding change in one of (only) three reverse depends which delayed the CRAN admisstion by a few days.

Changes in version 1.16.1-1 (2020-06-28)

  • Upgraded to Asio 1.16.1 (Dirk in #5).

  • Updated README.md with standard set of badges

Via CRANberries, there is a diffstat report relative to the previous release.

Comments and suggestions about AsioHeaders are welcome via the issue tracker at the GitHub GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/asioheaders | permanent link

Mon, 06 Jul 2020

Rcpp 1.0.5: Several Updates

rcpp logo

Right on the heels of the news of 2000 CRAN packages using Rcpp (and also hitting 12.5 of CRAN package, or one in eight), we are happy to announce release 1.0.5 of Rcpp. Since the ten-year anniversary and the 1.0.0 release release in November 2018, we have been sticking to a four-month release cycle. The last release has, however, left us with a particularly bad taste due to some rather peculiar interactions with a very small (but ever so vocal) portion of the user base. So going forward, we will change two things. First off, we reiterate that we have already made rolling releases. Each minor snapshot of the main git branch gets a point releases. Between release 1.0.4 and this 1.0.5 release, there were in fact twelve of those. Each and every one of these was made available via the drat repo, and we will continue to do so going forward. Releases to CRAN, however, are real work. If they then end up with as much nonsense as the last release 1.0.4, we think it is appropriate to slow things down some more so we intend to now switch to a six-months cycle. As mentioned, interim releases are always just one install.packages() call with a properly set repos argument away.

Rcpp has become the most popular way of enhancing R with C or C++ code. As of today, 2002 packages on CRAN depend on Rcpp for making analytical code go faster and further, along with 203 in BioConductor. And per the (partial) logs of CRAN downloads, we are running steady at around one millions downloads per month.

This release features again a number of different pull requests by different contributors covering the full range of API improvements, attributes enhancements, changes to Sugar and helper functions, extended documentation as well as continuous integration deplayment. See the list below for details.

Changes in Rcpp patch release version 1.0.5 (2020-07-01)

  • Changes in Rcpp API:

    • The exception handler code in #1043 was updated to ensure proper include behavior (Kevin in #1047 fixing #1046).

    • A missing Rcpp_list6 definition was added to support R 3.3.* builds (Davis Vaughan in #1049 fixing #1048).

    • Missing Rcpp_list{2,3,4,5} definition were added to the Rcpp namespace (Dirk in #1054 fixing #1053).

    • A further updated corrected the header include and provided a missing else branch (Mattias Ellert in #1055).

    • Two more assignments are protected with Rcpp::Shield (Dirk in #1059).

    • One call to abs is now properly namespaced with std:: (Uwe Korn in #1069).

    • String object memory preservation was corrected/simplified (Kevin in #1082).

  • Changes in Rcpp Attributes:

    • Empty strings are not passed to R CMD SHLIB which was seen with R 4.0.0 on Windows (Kevin in #1062 fixing #1061).

    • The short_file_name() helper function is safer with respect to temporaries (Kevin in #1067 fixing #1066, and #1071 fixing #1070).

  • Changes in Rcpp Sugar:

    • Two sample() objects are now standard vectors and not R_alloc created (Dirk in #1075 fixing #1074).
  • Changes in Rcpp support functions:

    • Rcpp.package.skeleton() adjusts for a (documented) change in R 4.0.0 (Dirk in #1088 fixing #1087).
  • Changes in Rcpp Documentation:

    • The pdf file of the earlier introduction is again typeset with bibliographic information (Dirk).

    • A new vignette describing how to package C++ libraries has been added (Dirk in #1078 fixing #1077).

  • Changes in Rcpp Deployment:

    • Travis CI unit tests now run a matrix over the versions of R also tested at CRAN (rel/dev/oldrel/oldoldrel), and coverage runs in parallel for a net speed-up (Dirk in #1056 and #1057).

    • The exceptions test is now partially skipped on Solaris as it already is on Windows (Dirk in #1065).

    • The default CI runner was upgraded to R 4.0.0 (Dirk).

    • The CI matrix spans R 3.5, 3.6, r-release and r-devel (Dirk).

Thanks to CRANberries, you can also look at a diff to the previous release. Questions, comments etc should go to the rcpp-devel mailing list off the R-Forge page. Bugs reports are welcome at the GitHub issue tracker as well (where one can also search among open or closed issues); questions are also welcome under rcpp tag at StackOverflow which also allows searching among the (currently) 2455 previous questions.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Sat, 04 Jul 2020

Rcpp now used by 2000 CRAN packages–and one in eight!

2000 Rcpp packages

As of yesterday, Rcpp stands at exactly 2000 reverse-dependencies on CRAN. The graph on the left depicts the growth of Rcpp usage (as measured by Depends, Imports and LinkingTo, but excluding Suggests) over time.

Rcpp was first released in November 2008. It probably cleared 50 packages around three years later in December 2011, 100 packages in January 2013, 200 packages in April 2014, and 300 packages in November 2014. It passed 400 packages in June 2015 (when I tweeted about it), 500 packages in late October 2015, 600 packages in March 2016, 700 packages last July 2016, 800 packages last October 2016, 900 packages early January 2017, 1000 packages in April 2017, 1250 packages in November 2017, 1500 packages in November 2018 and then 1750 packages last August. The chart extends to the very beginning via manually compiled data from CRANberries and checked with crandb. The next part uses manually saved entries. The core (and by far largest) part of the data set was generated semi-automatically via a short script appending updates to a small file-based backend. A list of packages using Rcpp is available too.

Also displayed in the graph is the relative proportion of CRAN packages using Rcpp. The four per-cent hurdle was cleared just before useR! 2014 where I showed a similar graph (as two distinct graphs) in my invited talk. We passed five percent in December of 2014, six percent July of 2015, seven percent just before Christmas 2015, eight percent in the summer of 2016, nine percent mid-December 2016, cracked ten percent in the summer of 2017 and eleven percent in 2018. We now passed 12.5 percent—so one in every eight CRAN packages dependens on Rcpp. Stunning. There is more detail in the chart: how CRAN seems to be pushing back more and removing more aggressively (which my CRANberries tracks but not in as much detail as it could), how the growth of Rcpp seems to be slowing somewhat outright and even more so as a proportion of CRAN – as one would expect a growth curve to.

To mark the occassion, I sent out two tweets yesterday: first a shorter one with “just the numbers”, followed by a second one also containing the few calculation steps. The screenshot from the second one is below.

2000 Rcpp packages

2000 user packages is pretty mind-boggling. We can use the progression of CRAN itself compiled by Henrik in a series of posts and emails to the main development mailing list. Not that long ago CRAN itself did have only 1000 packages, then 5000, 10000, and here we are at just over 16000 with Rcpp at 12.5% and still growing (though maybe more slowly). Amazeballs.

The Rcpp team continues to aim for keeping Rcpp as performant and reliable as it has been. A really big shoutout and Thank You! to all users and contributors of Rcpp for help, suggestions, bug reports, documentation or, of course, code.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Fri, 03 Jul 2020

#28: Welcome RSPM and test-drive with Bionic and Focal

Welcome to the 28th post in the relatively random R recommendations series, or R4 for short. Our last post was a “double entry” in this R4 series and the newer T4 video series and covered a topic touched upon in this R4 series multiple times: easy binary install, especially on Ubuntu.

That post already previewed the newest kid on the block: RStudio’s RSPM, now formally announced. In the post we were only able to show Ubuntu 18.04 aka bionic. With the formal release of RSPM support has been added for Ubuntu 20.04 aka focal—and we are happy to announce that of course we added a corresponding Rocker r-rspm container. So you can now take full advantage of RSPM either via docker pull rocker/r-rspm:18.04 or via docker pull rocker/r-rspm:20.04 covering the two most recent LTS releases.

RSPM is a nice accomplishment. Covering multiple Linux distributions is an excellent achievement. Allowing users to reason in terms of the CRAN packages (i.e. installing xml2, not r-cran-xml2) eases use. Doing it from via the standard R command install.packages() (or wrapper around it like our install.r from littler package) is very good too and an excellent technical achievement.

There is, as best as I can tell, only one shortcoming, along with one small bit of false advertising. The shortcoming is technical. By bringing the package installation into the user application domain, it is separated from the system and lacks integration with system libraries. What do I mean here? If you were to add R to a plain Ubuntu container, say 18.04 or 20.04, then added the few lines to support RSPM and install xml2 it would install. And fail. Why? Because the system library libxml2 does not get installed with the RSPM package—whereas the .deb from the distribution or PPAs does. So to help with some popular packages I added libxml2, libunits and a few more for geospatial work to the rocker/r-rspm containers. Being already present ensures packages xml2 and units can run immediately. Please file issue tickets at the Rocker repo if you come across other missing libraries we could preload. (A related minor nag is incomplete coverage. At least one of my CRAN packages does not (yet?) come as a RSPM binary. Then again, CRAN has 16k packages, and the RSPM coverage is much wider than the PPA one. But completeness would be neat. The final nag is lack of Debian support which seems, well, odd.)

So what about the small bit of false advertising? Well it is claimed that RSPM makes installation “so much faster on Linux”. True, faster than the slowest possible installation from source. Also easier. But we had numerous posts on this blog showing other speed gains: Using ccache. And, of course, using binaries. And as the initial video mentioned above showed, installing from the PPAs is also faster than via RSPM. That is easy to replicate. Just set up the rocker/r-ubuntu:20.04 (or 18.04) container alongside the rocker/r-rspm:20.04 (or also 18.04) container. And then time install.r rstan (or install.r tinyverse) in the RSPM one against apt -y update; apt install -y r-cran-rstan (or ... r-cran-tinyverse). In every case I tried, the installation using binaries from the PPA was still faster by a few seconds. Not that it matters greatly: both are very, very quick compared to source installation (as e.g. shown here in 2017 (!!)) but the standard Ubuntu .deb installation is simply faster than using RSPM. (Likely due to better CDN usage so this may change over time. Neither method appears to do downloads in parallel so there is scope for both for doing better.)

So in sum: Welcome to RSPM, and nice new tool—and feel free to “drive” it using rocker/r-rspm:18.04 or rocker/r-rspm:20.04.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/r4 | permanent link

Fri, 26 Jun 2020

littler 0.3.11: docopt updates

max-heap image

The twelveth release of littler as a CRAN package is now available, following in the fourteen-ish year history as a package started by Jeff in 2006, and joined by me a few weeks later.

littler is the first command-line interface for R as it predates Rscript. It allows for piping as well for shebang scripting via #!, uses command-line arguments more consistently and still starts faster. It also always loaded the methods package which Rscript only started to do in recent years.

littler lives on Linux and Unix, has its difficulties on macOS due to yet-another-braindeadedness there (who ever thought case-insensitive filesystems as a default where a good idea?) and simply does not exist on Windows (yet – the build system could be extended – see RInside for an existence proof, and volunteers are welcome!). See the FAQ vignette on how to add it to your PATH.

A few examples are highlighted at the Github repo, as well as in the examples vignette.

This release mostly responds to the recent docopt release 0.7.0 which brought a breaking change for quoted arguments. In short, it is for the better because an option --as-cran is now available parsed as opt$as_cran which is easier than the earlier form where we needed to back-tick protect as-cran containing an underscore. We also added a new portmanteau-ish option to roxy.r.

The NEWS file entry is below.

Changes in littler version 0.3.11 (2020-06-26)

  • Changes in examples

    • Scripts check.r and rcc.r updated to reflect updated docopt 0.7.0 behaviour of quoted arguments

    • The roxy.r script has a new ease-of-use option -f | --full regrouping two other options.

CRANberries provides a comparison to the previous release. Full details for the littler release are provided as usual at the ChangeLog page. The code is available via the GitHub repo, from tarballs and now of course also from its CRAN page and via install.packages("littler"). Binary packages are available directly in Debian as well as soon via Ubuntu binaries at CRAN thanks to the tireless Michael Rutter.

Comments and suggestions are welcome at the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/littler | permanent link

Thu, 25 Jun 2020

RcppSimdJson 0.0.6: New Upstream, New Features!

A very exciting RcppSimdJson release with the updated upstream simdjson release 0.4.0 as well as a first set of new JSON parsing functions just hit CRAN. RcppSimdJson wraps the fantastic and genuinely impressive simdjson library by Daniel Lemire and collaborators. Via very clever algorithmic engineering to obtain largely branch-free code, coupled with modern C++ and newer compiler instructions, it results in parsing gigabytes of JSON parsed per second which is quite mindboggling. The best-case performance is ‘faster than CPU speed’ as use of parallel SIMD instructions and careful branch avoidance can lead to less than one cpu cycle use per byte parsed; see the video of the recent talk by Daniel Lemire at QCon (which was also voted best talk). The very recent 0.4.0 release further improves the already impressive speed.

And this release brings a first set of actually user-facing functions thanks to Brendan which put in a series of PRs! The full NEWS entry follows.

Changes in version 0.0.6 (2020-06-25)

  • Created C++ integer-handling utilities for safe downcasting and integer return (Brendan in #16 closing #13).

  • New JSON functions .deserialize_json and .load_json (Brendan in #16, #17, #20, #21).

  • Upgrade Travis CI to 'bionic', extract package and version from DESCRIPTION (Dirk in #23).

  • Upgraded to simdjson 0.4.0 (Dirk in #25 closing #24).

Courtesy of CRANberries, there is also a diffstat report for this release.

For questions, suggestions, or issues please use the issue tracker at the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Mon, 22 Jun 2020

#27: R and CRAN Binaries for Ubuntu

Welcome to the 27th post in the rationally regularized R revelations series, or R4 for short. This is a edited / updated version of yesterday’s T^4 post #7 as it really fits the R4 series as well as it fits the T4 series.

A new video in both our T^4 series of video lightning talks with tips, tricks, tools, and toys is also a video in the R^4 series as it revisits a topic previously covered in the latter: how to (more easily) get (binary) packages onto your Ubuntu system. In fact, we show it in three different ways.

The slides are here.

This repo at GitHub support the series: use it to open issues for comments, criticism, suggestions, or feedback.

Thanks to Iñaki Ucar who followed up on twitter with a Fedora version. We exchanged some more message, and concluded that complete comparison (from an empty Ubuntu or Fedora container) to a full system takes about the same time on either system.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/r4 | permanent link

Sun, 21 Jun 2020

T^4 #7 and R^4 #5: R and CRAN Binaries for Ubuntu

A new video in both our T^4 series of video lightning talks with tips, tricks, tools, and toys is also a video in the R^4 series as it revisits a topic previously covered in the latter: how to (more easily) get (binary) packages onto your Ubuntu system. In fact, we show it in three different ways.

The slides are here.

This repo at GitHub support the series: use it to open issues for comments, criticism, suggestions, or feedback.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/t4 | permanent link

RcppGSL 0.3.8: More fixes and polish

Release 0.3.8 of RcppGSL is now getting onto CRAN. The RcppGSL package provides an interface from R to the GNU GSL using the Rcpp package.

Peter Carbonetto let us know in issue #25 that the included example now showed linker errors on (everybody’s favourite CRAN platform) Slowlaris. Kidding aside, the added compiler variety really has benefits because we were indeed missing a good handful or two of inline statements in the headers—which our good friends g++ and clang++ apparently let us get away with. This has been fixed, and a little bit of the usual package polish and cleanup has been added; see the list of detailed changes below.

Changes in version 0.3.8 (2020-06-21)

  • A few missing inline statements were added to the headers fixing a (genuine) error that was seen only on Solaris (Dirk).

  • The nice colNorm example is now in a file by itself, the previous versions are off in a new file colNorm_old.cpp (Dirk).

  • The README.me now sports two new badges (Dirk).

  • Travis CI was updated to 'bionic' and R 4.0 (Dirk).

Special thanks also to CRAN for a super-smooth and fully automated processing of a package with both compiled code and two handful of reverse dependencies.

Courtesy of CRANberries, a summary of changes to the most recent release is also available.

More information is on the RcppGSL page. Questions, comments etc should go to the issue tickets at the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Mon, 15 Jun 2020

Rcpp 1.0.5 in two+ weeks: Please help test

rcpp logo

With the current four-month release cycle, the next Rcpp release is due in July following the 1.0.4 release in March. Just prior to the 1.0.4 release I had asked this:

It would be particularly beneficial if those with “unsual” build dependencies tested it as we would increase overall coverage beyond what I get from testing against 1800+ CRAN packages. BioConductor would also be welcome.

but only on the rcpp-devel list, and only about a good week prior to the release.

I remain rather disappointed and disillusioned about what happened after 1.0.4 was released. Two PRs in that release were soon seen to have side effects on more ‘marginal’ test systems, precisely what added testing could have revealed. An additional issue arose from changes in R’s make system, which is harder to anticipate or test. Each and every infelicity was fixed within a day or so, and we always make candidate releases available—the current Rcpp as of this writing is 1.0.4.12 meaning twelve microreleases were made since 1.0.4. And those microreleases are always available for normal download and install.packages use via the Rcpp drat repository accessible to all. So it was truly troubling to see some, especially those with experience in setting up or running testing / ci platforms, pretend to be unable to access, install, and provide these for their own tests, or the tests of their users. It just doesn’t pass a basic logic test: it takes a single call to install.packages(), or, even more easily, a single assignment of an auxiliary repo. All told this was a rather sad experience.

So let’s try to not repeat this. If you, or maybe users of a build or ci system you maintain, rely on Rcpp, and especially if you do so on systems outside the standard CRAN grid of three OSs and the triplet of “previous, current, next” releases of R, then please help by testing. I maitain these release as a volunteer, unpaid at that, and I simply cannot expand to more systesm. We take reverse dependency check seriously (and I just run two taking about a day each) but if you insist on building on stranger hardware or much older releases it will be up to you to ensure Rcpp passes. We prep for CRAN, and try our best to pass at CRAN. For nearly a dozen years.

To install the current microrelease from the Rcpp drat repository, just do

install.packages("Rcpp", repos="https://rcppcore.github.io/drat")

That is all there is to it. You could even add the Rcpp drat repository to your repository list.

Rcpp has become successful because so many people help with suggestions, documentation, and code. It is used by (as of today) 1958 CRAN packages, 205 BioConductor packages, and downloaded around a million times per month. So if you can, please help now with some more testing.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Sun, 14 Jun 2020

T^4 #6: Byobu Sessions

The next video in our T^4 series of video lightning talks with tips, tricks, tools, and toys (where we had seen the announcement, shells sessions one, two, and three, as well as byoby sessions one and two) is now up at YouTube. It covers session management for the wonderful byobu tool that is both a ‘text-based window manager’ and a ‘terminal multiplexer’:

The slides are here.

This repo at GitHub support the series: use it to open issues for comments, criticism, suggestions, or feedback.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/t4 | permanent link

RVowpalWabbit 0.0.14: More Keeping CRAN happy

Another maintenance RVowpalWabbit package update brings us to version 0.0.14. This time CRAN asked us to replace the (long obsoleted C-library) function ftime(). Along the way, we also updated links in the DESCRIPTION file to the (spiffy!!) new vowpalwabbit.org website, updated Travis use and fine-tuned some autoconf code in configure.ac.

There is a newer package rvw based on the excellent GSoC 2018 and beyond work by Ivan Pavlov (mentored by James and myself) so if you are into Vowpal Wabbit from R go check it out. It should go to CRAN “eventually” once we have better mechanisms to support external libraries.

CRANberries provides a summary of changes to the previous version. More information is on the RVowpalWabbit page. Issues and bugreports should go to the GitHub issue tracker.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rvowpalwabbit | permanent link

Wed, 10 Jun 2020

binb 0.0.6: Small enhancements

The sixth release of the binb package is now on CRAN. binb regroups four rather nice themes for writing LaTeX Beamer presentations much more easily in (R)Markdown. As a teaser, a quick demo combining all four themes follows; documentation and examples are in the package.

Via two contributed PRs, this releases adds titlepage support via the YAML header for Metropolis, and suppresses nags about the changed natbib default. A little polish on the README and Travis rounds everything off.

Changes in binb version 0.0.6 (2020-06-10)

  • Support for YAML option titlegraphic was added in Metropolis (Andras Scraka in #23).

  • The README.md file received another badge (Dirk).

  • The natbib default value was updated to accomodate rmarkdown (Joseph Stachelek in #26).

  • Travis now uses R 4.0.0 and 'bionic' (Dirk).

CRANberries provides a summary of changes to the previous version. For questions or comments, please use the issue tracker at GitHub.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/binb | permanent link

Tue, 09 Jun 2020

RcppArmadillo 0.9.900.1.0

armadillo image

Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use with a syntax deliberately close to a Matlab. RcppArmadillo integrates this library with the R environment and language–and is widely used by (currently) 727 other packages on CRAN.

Conrad recently released a new upstream version 9.900.1 of Armadillo which we packaged and tested as usual first as a ‘release candidate’ build and then as the release. As usual, logs from reverse-depends runs are in the rcpp-logs repo.

Apart from the new upstream release, we updated Travis use, ornamented the README a little, and smoothed over a rough corner from the recent R 4.0.0 release. All changes in the new release are noted below.

Changes in RcppArmadillo version 0.9.900.1.0 (2020-06-08)

  • Upgraded to Armadillo release 9.900.1 (Nocturnal Misbehaviour)

    • faster solve() for under/over-determined systems

    • faster eig_gen() and eig_pair() for large matrices

    • expanded eig_gen() and eig_pair() to optionally provide left and right eigenvectors

  • Switch Travis CI testing to R 4.0.0, use bionic as base distro and test R 3.6.3 and 4.0.0 in a matrix (Dirk in #298).

  • Add two badges to README for indirect use and the CSDA paper.

  • Adapt RcppArmadillo.package.skeleton() to a change in R 4.0.0 affecting what it exports in NAMESPACE.

Courtesy of CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the R-Forge page.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Rcpp Webinar Recording Available

As announced in a few tweets leading up to it, I took the date of what would have been the annual R/Finance conference as an opportunity to hold the one-hour tutorial / workshop with introductory Rcpp material which I often present on the first morning preceding the conference as a self-organized webinar. The live-streaming worked actually reasonably well via obs to youtube (even though the comprehensive software by the latter complained at times about insufficient bitstream rates–the joys of living with a (near) monopolistic broadband provider whom I should leave for fiber…). Apparently around seventy people connected to the stream—which is more than we usually have in the seminar room at UIC for the R/Finance morning.

The recording is now available here, and has already been seen over 200 times:

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Sun, 07 Jun 2020

T^4 #5: More About Byobu

Another video in our T^4 series of video lightning talks with tips, tricks, tools, and toys (where we had seen the announcement, shells sessions one, two, and three, as well as one byobu session) is now up at YouTube. It goes a little deeper in the wonderful byobu and persistent sessions with multiple concurrent accesses illustrating why it is called both a ‘text-based window manager’ and a ‘terminal multiplexer’:

The slides are here.

This repo at GitHub support the series: use it to open issues for comments, criticism, suggestions, or feedback.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/t4 | permanent link

Fri, 05 Jun 2020

corels 0.0.2 on CRAN: Initial upload!

Corels is now on CRAN! The package was introduced with an initial tweet which pointed to the GitHub repo.

The source code repo has since been relocated from my account to the (upstream) corels org in GitHub. And renamed: as the upstream (C++) repo as well as the existing Python package simply call is corels we now do too. The repo, to be distinguishable as a directory, will remain named rcppcorels.

We also describe the package a little on the corels package page. Some more work should go into along with work in the upstream repos, so please follow whichever GitHub repo you are interested in.

The work on corels is also what is described in the recent arXiv paper on Rcpp and libraries:

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/corels | permanent link

Wed, 03 Jun 2020

littler 0.3.10: Some more updates

max-heap image

The eleventh release of littler as a CRAN package is now available, following in the fourteen-ish year history as a package started by Jeff in 2006, and joined by me a few weeks later.

littler is the first command-line interface for R as it predates Rscript. It allows for piping as well for shebang scripting via #!, uses command-line arguments more consistently and still starts faster. It also always loaded the methods package which Rscript only started to do in recent years.

littler lives on Linux and Unix, has its difficulties on macOS due to yet-another-braindeadedness there (who ever thought case-insensitive filesystems as a default where a good idea?) and simply does not exist on Windows (yet – the build system could be extended – see RInside for an existence proof, and volunteers are welcome!). See the FAQ vignette on how to add it to your PATH.

A few examples are highlighted at the Github repo, as well as in the examples vignette.

This release adds a new helper / example script installBioc.r for BioConductor package installation, generalizes the roxygenize() wrapper roxy.r a little, and polished a couple of other corners.

The NEWS file entry is below.

Changes in littler version 0.3.10 (2020-06-02)

  • Changes in examples

    • The update.r script only considers writeable directories.

    • The rcc.r script tries to report full logs by setting _R_CHECK_TESTS_NLINES_=0.

    • The tt.r script has an improved ncpu fallback.

    • Several installation and updating scripts set _R_SHLIB_STRIP_ to TRUE.

    • A new script installBioc.r was added.

    • The --error option to install2.r was generalized (Sergio Oller in #78).

    • The roxy.r script was extended a little.

  • Changes in package

    • Travis CI now uses R 4.0.0 and the bionic distro

CRANberries provides a comparison to the previous release. Full details for the littler release are provided as usual at the ChangeLog page. The code is available via the GitHub repo, from tarballs and now of course also from its CRAN page and via install.packages("littler"). Binary packages are available directly in Debian as well as soon via Ubuntu binaries at CRAN thanks to the tireless Michael Rutter.

Comments and suggestions are welcome at the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/littler | permanent link

Sun, 31 May 2020

T^4 #4: Introducing Byobu

The next video (following the announcement, and shells sessions one, two, and three) is up in the T^4 series of video lightning talks with tips, tricks, tools, and toys. This time we introduce the wonderful byobu tool which is called both a ‘text-based window manager’ and a ‘terminal multiplexer’:

The slides are here.

This repo at GitHub support the series: use it to open issues for comments, criticism, suggestions, or feedback.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/t4 | permanent link

Sat, 30 May 2020

drat 0.1.6: Rewritten macOS binary support

drat user

A new version of drat arrived on CRAN overnight, once again taking advantage of the fully automated process available for such packages with few reverse depends and no open issues. As we remarked at the last release fourteen months ago when we scored the same nice outcome: Being a simple package can have its upsides…

This release is mostly the work of Felix Ernst who took on what became a rewrite of how binary macOS packages are handled. If you need to distribute binary packages for macOS users, this may help. Two more small updates were made, see below for full details.

drat stands for drat R Archive Template, and helps with easy-to-create and easy-to-use repositories for R packages. Since its inception in early 2015 it has found reasonably widespread adoption among R users because repositories with marked releases is the better way to distribute code.

As your mother told you: Friends don’t let friends install random git commit snapshots. Rolled-up releases it is. drat is easy to use, documented by five vignettes and just works.

The NEWS file summarises the release as follows:

Changes in drat version 0.1.6 (2020-05-29)

  • Changes in drat functionality

    • Support for the various (current) macOS binary formats was rewritten (Felix Ernst in #89 fixing #88).

    • Travis CI use was updated to R 4.0.0 and bionic (Dirk).

    • A drat repo was added to the README (Thomas Fuller in #86)

Courtesy of CRANberries, there is a comparison to the previous release. More detailed information is on the drat page.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/drat | permanent link

Sun, 24 May 2020

#3 T^4: Customizing The Shell

The third video (following the announcement, the shell colors) one as well as last week’s shell prompt one, is up in the stil new T^4 series of video lightning talks with tips, tricks, tools, and toys. Today we cover customizing the shell some more.

The slides are here.

This repo at GitHub support the series: use it to open issues for comments, criticism, suggestions, or feedback.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/t4 | permanent link

Sat, 23 May 2020

RcppSimdJson 0.0.5: Updated Upstream

A new RcppSimdJson release with updated upstream simdjson code just arrived on CRAN. RcppSimdJson wraps the fantastic and genuinely impressive simdjson library by Daniel Lemire and collaborators. Via some very clever algorithmic engineering to obtain largely branch-free code, coupled with modern C++ and newer compiler instructions, it results in parsing gigabytes of JSON parsed per second which is quite mindboggling. The best-case performance is ‘faster than CPU speed’ as use of parallel SIMD instructions and careful branch avoidance can lead to less than one cpu cycle use per byte parsed; see the video of the recent talk by Daniel Lemire at QCon (which was also voted best talk).

This release brings updated upstream code (thanks to Brendan Knapp) plus a new example and minimal tweaks. The full NEWS entry follows.

Changes in version 0.0.5 (2020-05-23)

  • Add parseExample from earlier upstream announcement (Dirk).

  • Synced with upstream (Brendan in #12) closing #11).

  • Updated example parseExample to API changes (Brendan).

Courtesy of CRANberries, there is also a diffstat report for this release.

For questions, suggestions, or issues please use the issue tracker at the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Sun, 17 May 2020

#2 T^4: Customizing The Shell Prompt

The second video (following the announcement and last week’s shell colors) is up in the stil new T^4 series of video lightning talks with tips, tricks, tools, and toys. Today we cover customizing shell prompts.

The slides are available here. Next week we likely continue on shell customization with aliases.

This repo at GitHub support the series: use it to open issues for comments, criticism, suggestions, or feedback.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/t4 | permanent link

RcppArmadillo 0.9.880.1.0

armadillo image

Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use with a syntax deliberately close to a Matlab. RcppArmadillo integrates this library with the R environment and language–and is widely used by (currently) 719 other packages on CRAN.

Conrad released a new upstream version 9.880.1 of Armadillo on Friday which I packaged and tested as usual (result log here in the usual repo). The R package also sports a new OpenMP detection facility once again motivated by macOS which changed its setup yet again.

Changes in the new release are noted below.

Changes in RcppArmadillo version 0.9.880.1.0 (2020-05-15)

  • Upgraded to Armadillo release 9.880.1 (Roasted Mocha Detox)

    • expanded qr() to optionally use pivoted decomposition

    • updated physical constants to NIST 2018 CODATA values

    • added ARMA_DONT_USE_CXX11_MUTEX confguration option to disable use of std::mutex

  • OpenMP capability is tested explicitly (Kevin Ushey and Dirk in #294, #295, and #296 all fixing #290).

Courtesy of CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the R-Forge page.

If you like this or other open-source work I do, you can now sponsor me at GitHub. For the first year, GitHub will match your contributions.

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

/code/rcpp | permanent link

Fri, 15 May 2020

Let’s celebrate Anna!

Today is graduation at Washington University, and just like many other places, the ceremonies are a lot more virtual and surreal that in other years. For Anna today marks the graduation from Biomedical Engineering with a BSc. The McKelvey School of Engineering put a Zoom meeting together yesterday which was nice, and there is something more virtual here. Hopefully a real-life commencenment can take place in a year—the May 30, 2021, date has been set. The university also sent out a little commencement site/video which was cute. But at end of the day online-only still falls short of the real deal as we all know too well by now.

During those years, just about the only thing really I ever tweeted about appears to be soccer related. As it should because ball is life, as we all know. Here is one from 1 1/2 years ago when her Club Team three-peated in their NIRSA division:

And that opens what may be the best venue for mocking Anna: this year, which her a senior and co-captain, the team actually managed to loose a league game (a shocking first in these years) and to drop the final. I presume they anticipated that all we would all talk about around now is The Last Dance and three-peats, and left it at that. Probably wise.

Now just this week, and hence days before graduating with her B.Sc., also marks the first time Anna was addressed as Dr Eddelbuettel. A little prematurely I may say, but not too shabby to be in print already!

But on the topic of gratulations and what comes next, this tweet was very sweet:

As was this, which marked another impressive score:

So big thanks from all of us to WashU for being such a superb environment for Anna for those four years, and especially everybody at the Pappu Lab for giving Anna a home and base to start a research career.

And deepest and most sincere congratulations to Anna before the next adventure starts….

/misc | permanent link