ggalign
This package extends ggplot2 by providing advanced tools for aligning and organizing multiple plots, particularly those that automatically reorder observations, such as dendrogram. It offers fine control over layout adjustment and plot annotations, enabling you to create complex, publication-quality visualizations while still using the familiar grammar of ggplot2.
Why use ggalign?
ggalign focuses on aligning observations across multiple plots. It
leverages the "number of observations" in the
vctrs package or
NROW() function to maintain consistency in plot organization.
If you’ve ever struggled with aligning plots with self-contained
ordering (like dendrogram), or applying consistent grouping or ordering
across multiple plots (e.g., with k-means clustering), ggalign is
designed to make this easier. The package integrates seamlessly with
ggplot2, providing the flexibility to use its geoms, scales, and other
components for complex visualizations.
Installation
You can install ggalign from CRAN using:
install.packages("ggalign")Alternatively, install the development version from r-universe with:
install.packages("ggalign",
repos = c("https://yunuuuu.r-universe.dev", "https://cloud.r-project.org")
)or from GitHub with:
# install.packages("remotes")
remotes::install_github("Yunuuuu/ggalign")Learning ggalign
The complete tutorial is available at: https://yunuuuu.github.io/ggalign-book/
For the full reference documentation, visit: https://yunuuuu.github.io/ggalign/
Examples
Compare with other similar tools
Comparison of specifications with other similar tools
| Specification | ggalign | marsilea | aplot | ComplexHeatmap |
|---|---|---|---|---|
| Reorder observations | ✅ | ✅ | ❌ | Heatmap Only |
| Group observations into different panels | ✅ | ✅ | ❌ | Heatmap Only |
| Clustering algorithm | Kmeans,Hierarchical Clustering and arbitary algorithm | ❌ | ❌ | Kmeans,Hierarchical Clustering and arbitary algorithm |
| Legends Creation | Automatic | Manual | Automatic | Limited automatic, requires manual add |
| Legends Position | Anywhere, can be controlled for a single plot | Anywhere | Anywhere | Four sides, can only be placed on one side at a time |
| Dendrogram | Tree from both hclust or ape | hclust only | Tree from both hclust or ape | hclust only |
| Tanglegram | ✅ | ❌ | ❌ | ❌ |
| 3D Heatmap | ✅ | ❌ | ❌ | ✅ |
| Oncoplot | ✅ | ✅ | ✅ | ✅ |
| UpSet plot | ✅ | ✅ | ❌ | ✅ |
Acknowledgements
I would like to express my sincere gratitude to the contributors of the
ggplot2 project for providing a powerful and flexible framework for
data visualization in R. Their work laid the foundation for the
functionality and design of this package. I would also like to thank the
patchwork project, from which the core coding for the plot composer
was adapted. The patchwork library provided a useful mechanism for
combining and aligning plots, which was modified to suit the needs of
this package. Without the contributions of these open-source projects,
this package would not have been possible.
Additionally, I would like to extend my heartfelt thanks to
@teunbrand, who has fulfilled my numerous feature requests, and
assisted with the integration of new functions into ggplot2.