2023

Wrapping C Code in an R Package

August 10, 2023 | Jonathan Carroll

Your collaborator says to you “I have some code I’d like to distribute to people who will probably work in R most of the time. I don’t write R, but I write C. Can you package this up for me?” so you have a few options: re-write the ...
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Shuffling Columns: Pandas is Competitive‽

August 10, 2023 | tshafer.com

Last year I benchmarked a few ways of shuffling columns in a data.table, but what about pandas? I didn’t know, so let’s revisit those tests and add a few more operations! pandas winds up being much more competitive than I expected. First, dplyr is by far the ...
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Flipbookr for Quarto

August 10, 2023 | R on kieranhealy.org

{{flipbookr}} is an R package written by Gina Reynolds. It’s very useful for teaching. It was developed for use with .Rmd files Xaringan and presently does not work with Quarto. I hacked-up a version of Flipbookr that does work with Quarto. Using it with Xaringan should be exactly the ... [Read more...]

#TidyTuesday 2023 – Week 32

August 9, 2023 | Jonathan Kitt

Introduction The #TidyTuesday weekly challenge is organised by the R4DS (R for Data Science) Online Learning Community. Every tuesday throughout the year, participants work on a common dataset and share the plots they create. The dataset for th...
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Tidymodels: The Los Alamos of Data Science

August 9, 2023 | Numbers around us

The dimmed lights of the cinema hall, the hushed anticipation of the audience, and the opening scenes of Nolan’s portrayal of Dr. Oppenheimer drew me in instantly. Amidst the enthralling narrative and cinematic brilliance, my mind began drawing parallels that transcended the screen. The palpable tension, the nexus of ...
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Multi-step Estimators and Shrinkage Effect in Time Series Models

August 9, 2023 | Ivan Svetunkov

Authors: Ivan Svetunkov, Nikos Kourentzes, Rebecca Killick Journal: Computational Statistics Abstract: Many modern statistical models are used for both insight and prediction when applied to data. When models are used for prediction one should optimise parameters through a prediction error loss function. Estimation methods based on multiple steps ahead forecast ...
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