Articles by Ralf Stubner

Fast sampling support in dqrng

April 8, 2019 | Ralf Stubner

About half a year ago I wrote about dqsample providing a bias free alternative to base::sample(). Meanwhile this is mostly of historic interest, since the upcomming R release 3.6.0 will see an updated sampling algorithm. However, some of the techniques used in dqsample are now part of dqrng. Of course, ...
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dqrng v0.1.0: breaking changes

March 5, 2019 | Ralf Stubner

A new version of dqrng has made it onto the CRAN servers. This version brings two breaking changes, hence the “larger than usual” change in version number: An integer vector instead of a single int is used for seeding (Aaron Lun in #10) Single integer seeds lead to a different RNG ... [Read more...]

dqrng v0.0.5: New and updated RNGs

February 1, 2019 | Ralf Stubner

A new version of dqrng has made it onto the CRAN servers after a brief hick-up. Thanks to the CRAN team in general and Uwe Ligges in particular for their relentless efforts. This versions adds a new RNG to be used together with the provided distribution functions: The 64 bit version ... [Read more...]

dqsample: A bias-free alternative to base::sample()

October 9, 2018 | Ralf Stubner

For many tasks in statistics and data science it is useful to create a random sample or permutation of a data set. Within R the function base::sample() is used for this task. Unfortunately this function uses a slightly biased algorithm for creating random integers within a given range. Most ...
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tikzDevice has a new home

July 2, 2018 | Ralf Stubner

Back in February the tikzDevice package became ORPHANED on CRAN. Consequently Kirill Müller and Yihui Xie searched for a new maintainer. When I read about it some time later, we decided that it makes sense for us to step in here. After a brief mail exchange with Yihui Xie ... [Read more...]

First CRAN release for dqrng

May 14, 2018 | Ralf Stubner

The dqrng package is now available from CRAN. It is possible to install it using install.packages("dqrng") Besides this simplified installation the included RNGs have been updated: Xorshift128+ and Xorshift1024* have been removed in favor of the new Xorshiro256+, c.f. Using the provided ... [Read more...]

Fast Random Numbers for R with dqrng

April 20, 2018 | Ralf Stubner

If you need only a few truly random numbers you might use dice or atmospheric noise. However, if you need many random numbers you will have to use a pseudo random number generator (RNG). R includes support for different RNGs (c.f. ?Random) and a wide variety of distributions (c....
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