This year, I started a Twitter advent calendar showcasing one R-package per day, each of which I find essential for my work. The aim is to highlight useful packages, both familiar and lesser-known, and offer insights into their functionalities. Follow along to discover packages from CRAN, BioConductor, GitHub, and more, and perhaps find new tools to enhance your work.

Discover how to create interactive 3D brain atlas plots using the ggseg3d package in R. Learn to visualize neuroimaging data with plotly, including setting up and customizing brain atlas plots. Ideal for neuroscientists and data scientists working with brain segmentation data.

Explore how to create animated visualizations of brain data using the ggseg and gganimate packages in R. Learn to prepare data for animations, customize plots, and generate smooth transitions to visualize changes across different conditions such as age.

Discover ggseg, an R package designed for plotting brain segmentations directly in R with ggplot2. Learn how to visualize results from different brain atlases, customize plots, and integrate your own data. Ideal for neuroimaging researchers needing to plot segmented brain data efficiently.