One of the most appealing things about R is its ability to create data visualizations with just a couple of lines of code. [This story is part of Computerworld’s “Beginner’s guide to R.” You’ll find ...

For everything from styling text and customizing color palettes to creating your own geoms, these ggplot2 add-ons deserve a place in your R data visualization toolkit. Plus, a bonus list of packages ...

Attendees propose ideas and then we all vote on which we want to see; the top 10 get to present. This year, my pitch on 5 data visualizations in R in 5 minutes, all in 5 lines of code or less was one ...

Representative visualization features of the GseaVis R package showing enhanced GSEA plots, multi-pathway comparisons, heatmap annotations, and circular layout options for comprehensive gene set ...