The cowplot package in R is an
extension of the ggplot2
package, designed to simplify the process of combining multiple
plots into a single layout.
This post showcases the
key features of cowplot and provides a set
of graph examples using the package.
{cowplot}
Warning! The cowplot package is very
similar to the patchwork
package. Patchwork is
easier to use (intuitive syntax) and provides the same main
features!
The cowplot package in R is an extension of the ggplot2
package, designed to simplify the process of combining multiple
plots into a single layout.
It offers a set of functions that make it easy to arrange plots in a grid, add labels, and create publication-ready figures.
✍️ author → Claus O. Wilke
📘 documentation → wilkelab.org/cowplot
⭐️ more than 700 stars on github
To get started with cowplot, you can install it directly
from CRAN using the install.packages function:
The cowplot package allows you to combine multiple plots
using the plot_grid() function.
Here’s a basic example:
library(ggplot2)
library(cowplot)
p1 <- ggplot(mtcars) +
geom_point(aes(mpg, disp))
p2 <- ggplot(mtcars) +
geom_boxplot(aes(gear, disp, group = gear))
plot_grid(p1, p2)
You can combine multiple plots using the plot_grid()
function.
Example:
Use the nrow and ncol arguments to control
the layout.
Example:
You can add labels to your plots using the labels
argument.
Example:
The gallery is filled with examples using the cowplot
package! Browse them below:
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