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Time-series data have become ubiquitous in psychological research because it allows us to study within-person dynamics and their heterogeneity across persons. Vector autoregressive (VAR) models have become a popular choice as a first approximation of w... [Read more...]

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What is data-driven art? At first I thought the answer to the question what is data art? would be relatively straightforward. I initially started with the definition that data art lies somewhere between data visualisation and generative art. Where data visualisation aims to accurately represent data to communicate insights, generative ... [Read more...]

R is packed with powerhouse tools—think dplyr for data wrangling, ggplot2 for stunning visuals, or tidyr for tidying up messes. But beyond the headliners, there’s a lineup of lesser-known functions that deserve a spot in your toolkit. These hidd... [Read more...]

Join our workshop on Effective Data Visualization in R in Scientific Contexts, which is a part of our workshops for Ukraine series!  Here’s some more info:  Title: Effective Data Visualization in R in Scientific Contexts Date: Thursday, April 10th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone) Speaker: Christian Gebhard is a ... [Read more...]

We have great news: The call for applications to be part of the new cohort of our 2025 Program is now open! And for the first time it will be in Spanish! Our program seeks to identify, recognize and reward people who are leaders in an open science com... [Read more...]

I’m happy to announce 9 additions to the Big Book of R! Many thanks to Gary, Luis, Roger and Stephen for their contributions! The collection stands at almost 450 free, open-source (and some paid) books! Biological Data Science with R Introductory R book with a focus on tidy data analysis … The ... [Read more...]

A blog post describing univariate and multivariate probabilistic forecasting of time series using Ridge2 and conformal prediction [Read more...]

In today’s blogpost I show you how to do common data cleaning operations via both {data.table} and {dplyr}. These are two fantastic frameworks inside the R ecosystem. As always, there’s also a video version available: Get data First, let us ta... [Read more...]

R and Python implementations of word completion [Read more...]

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Inspired by Roman A. Valiulin’s book NMR Multiplet Interpretation (discussed previously), I decided to write an R function to draw complex multiplets. The function will draw the multiplet, and optionally, can draw a splitting tree and some annota... [Read more...]

The ShinyQDA R package is designed to assist researchers with the analysis of qualitative data. As the name suggests, the premise is that much of the interaction with the package will be done through a Shiny application. However, all the function... [Read more...]

This document describes some lower-level, technical details of the CRAN package ‘xdvir’ for rendering LaTeX fragments as labels and annotations on R plots. Paul Murrell ... [Read more...]

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