Plotting Horizontally
The last combination of plots is to arrange them horizontally. These plots are placed one below the other. We will use the slash(/) operator to place these plots in a new line, one below the other plot.
Example: Arranging plots vertically
R
library(ggplot2) library(patchwork) data(iris) head(iris) gfg1 <- ggplot(iris, aes(Sepal.Length, Petal.Length, color = Species)) + geom_bar(stat = "identity") gfg2 <- ggplot(iris, aes(Sepal.Length, Petal.Length, color = Species)) + geom_point() gfg3 <- ggplot(iris, aes(Sepal.Length, Petal.Length, color = Species)) + geom_line() # Combination of plots by arranging them # horizontally gfg_comb_4 <- gfg1 / gfg2 / gfg3 gfg_comb_4 |
Output :
Horizontal orientation
Draw Composition of Plots Using the patchwork Package in R
In this article, we will discuss how to draw a composition of plots using the patchwork package in R programming language. The patchwork package makes it easier to plot different ggplots in a single graph. We will require both ggplot2 packages for plotting our data and the patchwork package to combine the different ggplots.
Let us first draw all the plots normally and independently.
Example: Plotting the dataset in a bar plot
R
library(ggplot2) library(patchwork) data(iris) head(iris) # Plotting the bar chart gfg1 <- ggplot(iris, aes(Sepal.Length, Petal.Length, color = Species)) + geom_bar(stat = "identity") gfg1 |
Output :
Bar plot
Example: Plotting the dataset in a scatterplot
R
library(ggplot2) library(patchwork) data(iris) head(iris) # Scatterplot gfg2 <- ggplot(iris, aes(Sepal.Length, Petal.Length, color = Species)) + geom_point() gfg2 |
Output :
Scatterplot
Example: Plotting the dataset in a line plot
R
library(ggplot2) library(patchwork) data(iris) head(iris) # Line plot gfg3 <- ggplot(iris, aes(Sepal.Length, Petal.Length, color = Species)) + geom_line() gfg3 |
Output :
Line plot
Now let us look at how these three plots can be combined in various orientations.
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