R-bloggers

JavaScript is required to unlock solutions. Please enable JavaScript and reload the page, or download the source files from GitHub and run the code locally. Goal After this exercise, you should be able to control the resampling process when using mlr3 in order to account for data specificities, such as ...

Standalone knowledge quiz about the flags of countries and their neighbors, along with the Quarto source files to generate this. Knowledge quiz Standalone file: flags.html Resources flags flags.qmd: Quarto sou...

 Reposted from the original at https://blog.stephenturner.us/p/uv-part-3-python-in-r-with-reticulate.Two demos using Python in R via reticulate+uv: (1) Hugging Face transformers for sentiment analysis, (2) pyBigWig to query a BigWig file and ...

Understanding how scientific knowledge develops requires more than merely counting papers and citations. It requires a careful evaluation of how research topics and themes interconnect and transform over time. This is where bibliometric analysis becomes essential. As the volume of scientific journals and papers continues to grow exponentially, bibliometric analyses ...

Note that this is cross posted with a vignette in the medley R package. For the most up-to-date version go here: https://jbryer.github.io/medley/articles/downsampling.html Comments can be directed to me on Mastodon at @vis.social@jbryer. To insta...

The distances of Hasler kayak races for various divisions are nominally 4, 8 and 12 miles. However, the actual distances vary to some degree from one race venue to another. This makes it difficult to compare race times across different races. Using data from Paddle UK I attempt to estimate the actual distances.

New CRAN releases of the R/exams package and the accompanying exams2forms package with many new features and enhancements, especially for the written multiple-choice exams (NOPS). Overview The new version 2.4-2 of the...

In my simulations of Response Adaptive Randomization, I discovered it performs comparably to fixed 50-50 allocation in identifying treatment effects. The adaptive approach does appear to work! However, with only 10 trials, I’ve merely scratched the surface. Important limitations exist - temporal bias risks, statistical inefficiency, and complex multiplicity adjustments ...

Mont Blanc – CC-BY-NC-ND by Viktor Kirilko Some OpenStreetMap elements have Wikidata entities as attributes, like for example the summit of Mont Blanc has the key/value pair wikidata=Q583 directing to Mont Blanc where we can see it has ...

Debugging code in an everyday (often painful) task for developers. In a recent video, I presented how to debug R code in RStudio IDE. Two native functions available natively in R were shown : browser() and debugonce(). They are very useful to de...

In this post, we show how different use cases require different model diagnostics. In short, we compare (statistical) inference and prediction. As an example, we use a simple linear model for the Munich rent index dataset, which was kindly provided by the authors of Regression – Models, Methods and Applications 2nd ...

Given an ordinal regression model, it is relatively easy to get class-wise predictions - the conditional predicted probability of each level of the outcome. However, often, one might be interested in summarizing effects not on the class-wise pro...

Grouped counts and grouped (weighted) means? How to calculate them? And how to do it as fast as possible?

In March, one hundred eighty-two new packages made it to CRAN. Here are my Top 40 picks in sixteen categories: Agriculture, Archaeology, Biology, Climate Modeling, Computational Methods, Data, Ecology, Epidemiology, Genomics, Machine Learning, M...