How to combine 2 plots (ggplot) into one plot?

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By using R, is it possible to place 2 ggplot together (i.e., on the same plot)? I wish to show a trend from 2 different data frames and instead of putting them one next to the other, I'd like to integrate them together in one plot and only to change the color of one of them (the black dot).

To be more specific, I have the following 2 visuals:

ggplot(visual1, aes(ISSUE_DATE,COUNTED)) + geom_point() + geom_smooth(fill="blue", colour="darkblue", size=1)

and

ggplot(visual2, aes(ISSUE_DATE,COUNTED)) + geom_point() + geom_smooth(fill="red", colour="red", size=1)

They look like this (both have black dots and I'll need to change one of them to something different):

and

Creating a single combined plot with your current data set up would look something like this

p <- ggplot() +
      # blue plot
      geom_point(data=visual1, aes(x=ISSUE_DATE, y=COUNTED)) + 
      geom_smooth(data=visual1, aes(x=ISSUE_DATE, y=COUNTED), fill="blue",
        colour="darkblue", size=1) +
      # red plot
      geom_point(data=visual2, aes(x=ISSUE_DATE, y=COUNTED)) + 
      geom_smooth(data=visual2, aes(x=ISSUE_DATE, y=COUNTED), fill="red",
        colour="red", size=1)

however if you could combine the data sets before plotting then ggplot will automatically give you a legend, and in general the code looks a bit cleaner

visual1$group <- 1
visual2$group <- 2

visual12 <- rbind(visual1, visual2)

p <- ggplot(visual12, aes(x=ISSUE_DATE, y=COUNTED, group=group, col=group, fill=group)) +
      geom_point() +
      geom_smooth(size=1)

ggplot2, Creating a single combined plot with your current data set up would look something like this p <- ggplot() + # blue plot� By using R, is it possible to place 2 ggplot together (i.e., on the same plot)? I wish to show a trend from 2 different data frames and instead of putting them one next to the other, I'd like to

Dummy data (you should supply this for us)

visual1 = data.frame(ISSUE_DATE=runif(100,2006,2008),COUNTED=runif(100,0,50))
visual2 = data.frame(ISSUE_DATE=runif(100,2006,2008),COUNTED=runif(100,0,50))

combine:

visuals = rbind(visual1,visual2)
visuals$vis=c(rep("visual1",100),rep("visual2",100)) # 100 points of each flavour

Now do:

 ggplot(visuals, aes(ISSUE_DATE,COUNTED,group=vis,col=vis)) + 
   geom_point() + geom_smooth()

and adjust colours etc to taste.

How to combine 2 plots (ggplot) into one plot?, multiple ggplots � Create some basic plots � Combine the plots on one page � Change column and row span of a plot � Use shared legend for combined ggplots � It’s also possible to arrange the plots (2 plot per page) when exporting them. Export individual plots to a pdf file (one plot per page): ggexport(bxp, dp, lp, bxp, filename = "test.pdf") Arrange and export. Specify the nrow and ncol arguments to display multiple plots on the same page:

Just combine them. I think this should work but it's untested:

p <- ggplot(visual1, aes(ISSUE_DATE,COUNTED)) + geom_point() + 
     geom_smooth(fill="blue", colour="darkblue", size=1)

p <- p + geom_point(data=visual2, aes(ISSUE_DATE,COUNTED)) + 
     geom_smooth(data=visual2, fill="red", colour="red", size=1)

print(p)

How to Combine Multiple GGPlots into a Figure, An individual ggplot object contains multiple pieces – axes, plot The easiest approach to assemble multiple plots on a page is to use the In particular, the rbind() , cbind() , and join functions can provide a better alignment. Combine multiple ggplot on one page. Use the function ggarrange () [ggpubr package], a wrapper around the function plot_grid () [cowplot package]. Compared to plot_grid (), ggarange () can arrange multiple ggplots over multiple pages. figure <- ggarrange(bxp, dp, lp, labels = c("A", "B", "C"), ncol = 2, nrow = 2) figure.

Laying out multiple plots on a page, To create a plot by combining two plots from different data frames, you can pass the data frames at the geom level as follows:. The first row is all 1s, that’s where the first plot lives, spanning the two columns; the second row contains plots 2 and 3 each occupying one column. grid.arrange (bp, # bar plot spaning two columns bxp, sp, # box plot and scatter plot ncol = 2, nrow = 2, layout_matrix = rbind (c (1,1), c (2,3))) Arrange multiple ggplots on the same page

ggplot combining two plots from different data.frames, Multiple graphs on one page (ggplot2). Problem. You want to put multiple graphs on one page. Solution. The easy way is to use the multiplot function, defined at� To arrange multiple ggplot2 graphs on the same page, the standard R functions - par () and layout () - cannot be used. The basic solution is to use the gridExtra R package, which comes with the following functions: grid.arrange () and arrangeGrob () to arrange multiple ggplots on one page. marrangeGrob () for arranging multiple ggplots over multiple pages.

Multiple graphs on one page (ggplot2), and also combining multiple plots into one figure and labeling these plots.” Package Installation: cowplot can be installed directly from CRAN� Multiple graphs on one page (ggplot2) Problem. You want to put multiple graphs on one page. Solution. The easy way is to use the multiplot function, defined at the bottom of this page. If it isn’t suitable for your needs, you can copy and modify it. First, set up the plots and store them, but don’t render them yet.

Comments
  • I think you don't need the aesthetics specified for the second data set (since they both have the same column names), you can just specify data=visual2.
  • Thanks @JLLagrange - you're right. I was just quickly copying and modifying the poster's code - I didn't try to clean it up at all.