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How to Combine Multiple ggplot2 Plots in R?

Last Updated : 28 Nov, 2021
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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:





                            
                            
                        


                                                                              

                                        

                                                                                

                                                                

                            
                                

                                
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                                                    geetansh044                                                

                                                

                                                

            
                                            

                                            
                                        

                                        

                                            
                                            

                                                
                                                
                                            

                                            
                                                                            

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