How to Combine Multiple ggplot2 Plots in R?

In this article, we will discuss how to combine multiple ggplot2 plots in the R programming language. 

Combining multiple ggplot2 plots using ‘+’ sign to the final plot

In this method to combine multiple plots, here the user can add different types of plots or plots with different data to a single plot, the user only needs to use the ‘+’ sing to combine the plot with each plot to the final plot, and further, the final plot will be a combination of multiple plots in the single ggplot2 plot in the R programming language.   

Syntax:

ggplot(NULL, aes(x, y)) +geom_line(data 1)+geom_line(data 2)+……+geom_line(data n)

Example 1:

In this example, we will be combining 3 ggplot2 line plots with different data using the ‘+’ sign form combining them into a single plot in the R programming language.

R

# load the package
library("ggplot2")

# create dataframe
gfg1 < -data.frame(x=c(4, 5, 1, 7, 8),
                   y=c(1, 4, 8, 6, 9))

# create dataframe
gfg2 < -data.frame(x=c(5, 1, 4, 3, 7),
                   y=c(7, 8, 9, 1, 2))

# create dataframe
gfg3 < -data.frame(x=c(4, 8, 6, 3, 5),
                   y=c(3, 4, 5, 8, 7))

# plot the data with dataframes with green
# red and blue colors
gfg_plot < -ggplot(NULL, aes(x, y)) +
geom_line(data=gfg1, col="green") +
geom_line(data=gfg2, col="blue")+
geom_line(data=gfg3, col="red")

# display the plot
gfg_plot

Output:

Example 2:

In this example, we will be combining 3 ggplot2 line plots and 2 scatter ggplot2 plots a total of 5 plots with different data using the ‘+’ sign form combining them into a single plot in the R programming language.

R

# load the package
library("ggplot2")

# create 5 dataframes
gfg1 < -data.frame(x=c(4, 5, 1, 7, 8),
                   y=c(1, 4, 8, 6, 9))
gfg2 < -data.frame(x=c(5, 1, 4, 3, 7),
                   y=c(7, 8, 9, 1, 2))
gfg3 < -data.frame(x=c(4, 8, 6, 3, 5),
                   y=c(3, 4, 5, 8, 7))
gfg4 < -data.frame(x=c(8, 6, 7, 2, 1),
                   y=c(8, 6, 4, 1, 9))
gfg5 < -data.frame(x=c(6, 1, 6, 5, 4),
                   y=c(6, 8, 7, 6, 4))

# plot the data with 5 dataframes
# with 5 different colors
gfg_plot < -ggplot(NULL, aes(x, y)) +
geom_line(data=gfg1, col="green") +
geom_line(data=gfg2, col="blue")+
geom_line(data=gfg3, col="red")+
geom_point(data=gfg4, col="purple") +
geom_point(data=gfg5, col="black")

# display the plot
gfg_plot

Output: