R-bloggers

The 1.4.0 release of maestro is out, and with it comes the ability to record custom metrics from your pipelines. Execution time and success/failure were already tracked, but there was no good way to answer questions like “how many rows did ...

Flow cytometry researchers have a growing collection of R and Bioconductor tools available to them. But for someone who is comfortable working with cytometry data and has little programming experience, knowing where to begin can be difficult. T...

When we have a multi-trait table of data, we might be interested in investigating variability structure and the reciprocal relationships (whether causal or non-causal) among variables. For example, let’s consider the ‘mtcars’ dataset, shown belo...

I recently updated nycdogs, a data package for R that I originally made for teaching purposes. It bundles up New York City’s dog licensing and dog bite datasets into an R package. The data is already provided by the city in a directly usable way ...

Data centers required to fuel the ambitions of Artificial Intelligence companies have sparked a nationwide conversation. AI companies are moving quickly to build out infrastructure and local communities are pushing back to resist what they see a...

In my last post on permute, I looked at ordered set partitions and the new formula interface for plots and blocks. This time I want to show two helpers for the next part of writing a permutation test: taking those permutations and doing something...

What difference can a sponsored place on a bioinformatics course make? For some researchers, it means access to training they would otherwise struggle to afford. For others, it is an opportunity to explore a new field, work through unfamili...

I’ve been giving permute a bit of attention recently. Two additions should make it easier to set up permutation tests: an option for ordered set partitions, and formulas for specifying plots and blocks. That’s a rather grand name for the first ad...

In statistics, dependence or association is any statistical relationship, whether causal or not, between two random variables or bivariate data. It is often measured by the Pearson’s correlation coefficient: Other measures of correlation can be...

“This original, thought-provoking, and transforming, book is much much more than an implementation manual for Bayesian Data Analysis, even though it shares almost the same perspective. (The first sentence of the book states that the authors’ `conceptions of statistical practice, and of Bayesian statistics, have changed over the years’.) By ...

On 15-17 September 2026, members of the Bioconductor, Galaxy and nf-core communities came together at The Open University in Milton Keynes for the BioFAIR Data to Discovery and BioFAIR Collaboration Fest (CoFest) joint event. The three-day event...

There has been an explosion of package/environment/platform managers in the R ecosystem recently,1 and R users are really reaping the rewards of so many ripe and riveting tools. But, I’ve found it rough2 to keep track of them all and understand ...

After 20 years of service the R-Forge package hosting platform will be retiring soon. Codeberg is a modern alternative that shares many of the ideas and values that R-Forge was built on. A tutorial for transitioning to Codeberg (or other Git-...

How much crude oil does the world have available? Inquiring minds want to know but it is surprisingly difficult to get a single number. We hear more about relative levels “less than at any point since XXXX” and changes “has dropped X million barrels in...

This post presents a function `mlReserve()` for machine-learning loss reserving on 'real-world' triangles, based on a fork of the 'ChainLadder' package. It includes two experiments, each scored against a known true reserve: (A) Two triangles from an individual-claims simulator (Wang & Wüthrich), embedded below: chain ladder vs mlReserve, in detail; (...

Pipeline setup {pipeflow} builds a pipeline by adding one R function per step with pip_add (see also the Get started article). In this post, we’ll work with the following toy pipeline: step load produces a sequence step clean doubles it step fit sums it, and step report formats ...