Creating a basic facet plot
Here, is a basic facet plot made using the diamonds data frame which is provided by R Language natively. We have used the facet_wrap() function with ~cut to divide the plot into facets according to their cut.
R
# load library ggridges and tidyverselibrary(ggridges)library(tidyverse)# Basic facet plot divided according to category cut# diamonds data frame is used in plot which# is provided natively by R Language# ggplot() function is used to plot the chartggplot(diamonds, aes(x="price", y="cut", fill="cut")) +# geom_density_ridges() function is used to draw ridgeline plot geom_density_ridges()+# facet_wrap() function divides the plot in facets according to category of cut facet_wrap(~cut) |
Output:
How To Change facet_wrap() Box Color in ggplot2 in R?
In this article, we will discuss how to change facet_wrap() box color in ggplot2 in R Programming language.
Facet plots, where one subsets the data based on a categorical variable and makes a series of similar plots with the same scale. Facetting helps us to show the relationship between more than two categories of data. When you have multiple variables, with faceting it can be plotted in a single plot into smaller plots.
We can easily plot a facetted plot using the facet_wrap() function of the ggplot2 package. When we use facet_wrap() in ggplot2, by default it gives a title in a grey box.
Syntax: plot + facet_wrap( ~facet-variable)
Where:
facet-variable: determines the variable around which plots have to be divided.