news
Programming Leftovers
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Sandor Dargo ☛ C++26: std::hive
In a recent article on std::inplace_vector, I mentioned that C++26 is generous with new containers. Here’s the other one: std::hive.
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Jeroen Sangers ☛ You optimise a system by looking at the whole flow, not by making the fastest part faster
The question that matters is not how to make one part faster, but what a change does to the whole flow. Skip that question and you optimise inside an illusion of progress: a fine result at one station, while the total lead time stays the same or gets worse.
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Farid Zakaria ☛ The holy grail of nixpkgs: version ranges
The multiverse already solves exact pins, and provably well in O(n log n). However it had some caveats to the solution. In order to solve version ranges, the problem becomes a boolean satisfiability problem and therefore NP-hard. Time for a real solver!
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Rust
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Rust Weekly Updates ☛ This Week In Rust: This Week in Rust 667
Hello and welcome to another issue of This Week in Rust!
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R-Script
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Dirk Eddelbuettel ☛ Dirk Eddelbuettel: RcppClassicExamples 0.1.5 on CRAN: Very Minor Maintenance
Another minor maintenance release version 0.1.5 of package RcppClassicExamples illustrates usage of the very old and otherwise deprecated initial Rcpp
This release follows one from six months ago, and is even smaller. We just update a few Rd files to adhere to a stricter standing of checking by R.
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R Studio Data Lab ☛ Z-Test in R: Complete Guide with One-Sample & Two-Sample Examples
A Z-test checks whether a sample mean is significantly different from a claimed population mean but it only works under one specific condition that trips up more dissertation students than any other part of the test: you have to actually know the population standard deviation, not estimate it from your own data. It covers the one-sample and two-sample Z-test in R, both the packaged function and the manual calculation, and more importantly how to tell whether a Z-test is even the right test for what you're doing.
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Rlang ☛ Z-Test in R: Complete Guide with One-Sample & Two-Sample Examples
Complete guide to running one-sample and two-sample Z-tests in R using BSDA::z.test(), the manual pnorm/qnorm method, and how to choose between a Z-test and a t-test for your data.
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