![]() ![]() Patchwork grid plot of Motor trend car data ( Thomas Pedersen) It also makes it easy to change formatting elements like colors and labels.Ĭreated by: Alboukadel Kassambara, available in Mode The package lets you add p-values and significance levels to charts and arrange or annotate multiple plots on the same page. Ggpubr is essentially a wrapper that uses more intuitive syntax to help beginning R coders produce sophisticated plots. That's why ggpubr exists: to make it easy to produce publication-ready plots using ggplot2 (even if you don't already know how to use ggplot2). And since lots of research publications require R charts, researchers who don't normally use R often need to produce highly-customized R charts on demand. Ggplot2 is flexible and powerful, but not always user-friendly for those without serious R chops. Arnold, available in Modeīox-and-whisker plots with comparative p-values ( Alboukadel Kassambara) There are even a few satirical inclusions, such as the Excel 2003 theme, which lets you replicate that “classic ugly look and feel” (with the note: “please never use this theme”).Ĭreated by: Jeffrey B. This versatile package contains themes and scales that let you replicate the look of work by data viz giants from Edward Tufte to Fivethirtyeight, The Economist, The Wall Street Journal, Highcharts JS, and more. ![]() If you want to lend your analyses a veneer of truthiness, check out ggthemes. Motor Trend car dataset, “Highcharts” theme ( Asha Hill) Combine it with dendextend and ape for complete control over your dendrograms.Ĭreated by: Andrie de Vries, available in Mode Rotate your dendrogram, remove the grid background (as in the example above), reverse the scales, draw triangular line segments, create diana and agnes cluster diagrams, and more. It's got several useful functions to extract dendrogram plot data, so you can save or manipulate the data itself. The ggplot2 philosophy instead aims to separate data from presentation, to give you greater control over how your data is displayed. While base R does have a function for clustering, it only lets you plot dendrograms directly, and can't separate out or expose the underlying data. If you're looking to control the appearance and display of your cluster analyses, make ggdendro your starting point. Gganimate also lets you save the animation to a file, such as an GIF, video, or an animated webpage, for use outside of RStudio or a Notebook.Ĭluster analysis of arrests by US state ( Andrie de Vries) This also means that, unlike the animation package (where you create several plots and combine them), with gganimate you only need to build the plot- including the axes and legend-once. The result is an animation built from various frames of the same plot.Īs you can see in the example above, gganimate plots keep the axis limits and legends fixed, so that only the points move-keeping the viewer's attention focused on how the data changes over time. This extension package animates ggplot2 visualizations, treating the “frame” (that is, the time point in an animation) as an aesthetic in the same way that ggplot2 treats x, y, color, etc. Love your ggplot visualization but wish it had more moving parts? gganimate can help with that. Read on for our reviews, including plenty of sample R Notebooks that will let you take these packages for a spin right inside your browser.Īnimation of per-capita GDP over time from Gapminder data ( David Robinson) Today, We're featuring 12 of our favorite ggplot2 extensions, to help you add more power and polish to your ggplots-or just to make them easier to create. Lucky for you, the R community has been hard at work building extension packages for ggplot2 over the past 10 years. If you're one of the world's many fans of ggplot2, you may at times find yourself looking for additional bells and whistles to extend its functionality. The package was inspired by The Grammar of Graphics, Leland Wilkinson's seminal text about data viz, which breaks graphs up into semantic components like scales and layers, and separates data from presentation. Many people-including its creator, Hadley Wickham-attribute this success to the philosophy behind ggplot2. When I’ve created data visualisations with :Īlbert-rapp.Since its introduction in 2007, ggplot2 has become one of the most frequently-downloaded and widely-used R packages in the world. ![]()
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