No Clocks

Personal academic website for Tom Palmer

How to create a self-contained (and optionally executable) R script, which declares the R package dependencies for rendering Quarto documents using the knitr engine. This allows non-technical users to render Quarto documents using the knitr engine without having to install the R packages themselves.

The futurize() function turns sequential map-reduce functions such as base::lapply(), purrr::map(), foreach::foreach() %do% { ... } into concurrent alternatives, providing you with a simple, straightforward path to scalable parallel computing via the future ecosystem . By combining this transpiler function with Rs native pipe operator, you have a convenient way for speeding up iterative computations with minimal refactoring, e.g. lapply(xs, fcn) | futurize(), purrr::map(xs, fcn) | futurize(), and foreach::foreach(x = xs) %do% { fcn(x) } | futurize(). Other map-reduce packages that can be "futurized" are BiocParallel, plyr, crossmap, pbapply packages. There is also support for a growing set of domain-specific packages on CRAN (e.g. boot, caret, DiceKriging, ez, fgsea, fwb, gamlss, glmmTMB, glmnet, kernelshap, lme4, metafor, mgcv, modelsummary, parameters, partykit, pls, pvclust, riskRegression, rugarch, sandwich, seriation, shapr, Sim.DiffProc, SimDesign, stars, strucchange, SuperLearner, tm, TSP, and vegan) and on Bioconductor (e.g. DESeq2, GenomicAlignments, GSVA, Rsamtools, scater, scuttle, SingleCellExperiment, and sva').

Below are the slides for my Futurize - Tearing Down Parallelization Barriers in R with Transpilers talk that I presented at the useR! 2026 conference in Warzaw, Poland. Title: Futurize - Tearing Down Parallelization Barriers in R with Transpilers Speaker: Henrik Bengtsson Slides: HTML (16 slides; 18 minutes) Video: To appear The new futurize package makes it easier than ever before to parallelize existing map-reduce calls - just pipe the call to futurize() and you’re done!

Summarizing a slack conversation with @lionel- I'd be interested in an rlang substitute for stopifnot(). Recently, I've switched all conditions in reprex to rlang. Well, except for places where I h...

If I'm using cli in a package, often I avoid stopifnot() because the unformatted error messages feel jarring compared with those produced by cli_abort() and friends. I'm guessing cli has no stopifn...

A cheatsheet for basic best practice in R programming - wurli/r-best-practice

Personal blog

Download and import geographical data from Eurostat GISCO into R. - rOpenGov/giscoR

Contribute to mqfarooqi1/AgriFusionR development by creating an account on GitHub.

An htmlwidget wrapping Vanilla Calendar Pro, with date, month, year and time selection, a popup date picker, theming, and in-place updates from the Shiny server.

A guide to engineering AI errors out of agentic workflows. Includes human-in-the-loop guardrails and agentic workflows in R and Shiny.

A visual, no-code framework for R

Shiny has no undo. Adding it means solving three problems: restoring a widget you have never heard of, stopping the echo loop, and a bug that only R’s lazy evaluation could produce.

In this post, I’ll show two approaches to write unit tests when making external HTTP calls without using any mocking library. Suppose we have the following contrived API struct to call external services. We’ll write unit tests for the DoStuff() method that calls some API, handles any errors and probably do some complex logic with response. We just need to test our error handling and business logic part without making any actual API calls.

_Go_, often referred to as _Golang_, is a popular programming language built by Google. Its design and structure help you write efficient, reliable...

A thin R and Pi integration layer that composes ducknng RPC manifests and calls with nanonext, nanoarrow, and mirai. It provides a persistent R evaluator and generic Pi discovery/call tools without re-implementing NNG transport, process scheduling, AIO, or transport security.

An attempt at making R load and execute assembler code on the fly.

Typed-SEXP

Twelve-agent code, architecture, and docs assessment of geoparquet-io with a prioritized six-tier improvement plan.

Fast I/O and transformation tools for GeoParquet files

Fast I/O and transformation tools for GeoParquet files