How to combine two or more plots in one plot with ggplot2

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[enter image description here][1]I'm a beginner with the program R in ggplot2 and i am new on this site. I've [tried][2] to mix my plots but i can't do it. In the dataset there are a fishing trawl data. I've done the two plot in the year 1994 and 2016, now i would to put one next the other like the function par(mfcol=c()). Thanks

ggplot(a1994, aes(x=BOTTOM_TEMPERATURE_BEGINNING, y=SHOOTING_DEPTH, colour=1)) + 
  geom_errorbar(aes(ymin=SHOOTING_DEPTH-se, ymax=SHOOTING_DEPTH+se), width=.0) +
  geom_line() +
  geom_point()+
  xlab("Temperature") +
  ylab("Depth")+
  ggtitle("Plot relation T° and Depth year 1994")+
  theme(plot.title = element_text(hjust = 0.5))+
  theme(plot.title = element_text(colour = "black"))+
  theme(plot.title = element_text(face = "italic"))+
  theme(plot.title = element_text(size = "25"))+
  scale_x_continuous(breaks=seq(0, 23, 1))+
  theme(axis.text.x = element_text(angle = 90, hjust = 1),legend.position="none")
~
ggplot(a2016, aes(x=BOTTOM_TEMPERATURE_BEGINNING, y=SHOOTING_DEPTH, colour=1)) + 
  geom_errorbar(aes(ymin=SHOOTING_DEPTH-se, ymax=SHOOTING_DEPTH+se), width=.0) +
  geom_line() +
  geom_point()+
  xlab("Temperature") +
  ylab("Depth")+
  ggtitle("Plot relation T° and Depth year 2016")+
  theme(plot.title = element_text(hjust = 0.5))+
  theme(plot.title = element_text(colour = "black"))+
  theme(plot.title = element_text(face = "italic"))+
  theme(plot.title = element_text(size = "25"))+
  scale_x_continuous(breaks=seq(0, 23, 1))+
  theme(axis.text.x = element_text(angle = 90, hjust = 1),legend.position="none")
~


  [1]: https://i.stack.imgur.com/9XqCu.png
  [2]: https://i.stack.imgur.com/E2eOh.png

I like the cowplot package for this. The vignette is very clear.

In your case, try the following:

plot1 = ggplot(a1994, aes(x=BOTTOM_TEMPERATURE_BEGINNING, y=SHOOTING_DEPTH, colour=1)) + 
  geom_errorbar(aes(ymin=SHOOTING_DEPTH-se, ymax=SHOOTING_DEPTH+se), width=.0) +
  geom_line() +
  geom_point()+
  xlab("Temperature") +
  ylab("Depth")+
  ggtitle("Plot relation T° and Depth year 1994")+
  theme(plot.title = element_text(hjust = 0.5))+
  theme(plot.title = element_text(colour = "black"))+
  theme(plot.title = element_text(face = "italic"))+
  theme(plot.title = element_text(size = "25"))+
  scale_x_continuous(breaks=seq(0, 23, 1))+
  theme(axis.text.x = element_text(angle = 90, hjust = 1),legend.position="none")

plot2 = ggplot(a2016, aes(x=BOTTOM_TEMPERATURE_BEGINNING, y=SHOOTING_DEPTH, colour=1)) + 
  geom_errorbar(aes(ymin=SHOOTING_DEPTH-se, ymax=SHOOTING_DEPTH+se), width=.0) +
  geom_line() +
  geom_point()+
  xlab("Temperature") +
  ylab("Depth")+
  ggtitle("Plot relation T° and Depth year 2016")+
  theme(plot.title = element_text(hjust = 0.5))+
  theme(plot.title = element_text(colour = "black"))+
  theme(plot.title = element_text(face = "italic"))+
  theme(plot.title = element_text(size = "25"))+
  scale_x_continuous(breaks=seq(0, 23, 1))+
  theme(axis.text.x = element_text(angle = 90, hjust = 1),legend.position="none")

library(cowplot)
plot_grid(plot1, plot2, labels = c('plot1', 'plot2'))

ggplot2, This article describes how to combine multiple ggplots into a figure. ggplot2 facet functions for creating multiple panel figures that share the same axes; ggarrange() function for There are two main facet functions in the ggplot2 package:. the box plot (bxp) and the dot plot (dp) will live in the second row with two plots in two different columns library ("gridExtra") grid.arrange (sp, # First row with one plot spaning over 2 columns arrangeGrob (bxp, dp, ncol = 2), # Second row with 2 plots in 2 different columns nrow = 2) # Number of rows

Consider grid.arrange from the gridExtra package if plots are uniquely built. You can adjust layout to including number of rows or columns including title.

library(ggplot2)
library(gridExtra)

p1 <- ggplot(a1994, ...)
p2 <- ggplot(a2016, ...)

p <- grid.arrange(p1, p2)
p

Alternatively, since the two plots appear to be same layers (no loop?), simply append the two data sets adding an indicator field and run facet_wrap which also allows number of rows and columns, even scales adjustment:

all_data <- rbind(transform(a1994, year = 1994),
                  transform(a2016, year = 2016))

ggplot(all_data, ...) +
  ... +
  facet_wrap(~year)

How to Combine Multiple GGPlots into a Figure, Creating a single combined plot with your current data set up would look something like this p <- ggplot() + # blue plot� the box plot (bxp) and the dot plot (dp) will live in the second row with two plots in two different columns library("gridExtra") grid.arrange(sp, # First row with one plot spaning over 2 columns arrangeGrob(bxp, dp, ncol = 2), # Second row with 2 plots in 2 different columns nrow = 2) # Number of rows

Also try patchwork

plot1 + plot2 + patchwork::plot_layout(ncol = 1)

https://github.com/thomasp85/patchwork

How to combine 2 plots (ggplot) into one plot?, An individual ggplot object contains multiple pieces – axes, plot The easiest approach to assemble multiple plots on a page is to use However, in some situations, the various plot panels cannot easily be combined in a unique plot; for The second step is to bind the two gtables, using the sizes from the� Load R packages. I’ll be plotting with ggplot2, reshaping with tidyr, and combining plots with packages egg and patchwork.. I’ll also be using package cowplot version 0.9.4 to combine individual plots into one, but will use the package functions via cowplot:: instead of loading the package.

Laying out multiple plots on a page, The details of these plots aren't important; all you need to do is store the plot objects in variables. which comes with ggplot2 # First plot p1 <- ggplot( ChickWeight, aes(x=Time, y=weight, colour=Diet, This will make two columns of graphs:. When you are creating multiple plots that share axes, you should consider using facet functions from ggplot2. You write your ggplot2 code as if you were putting all of the data onto one plot, and then you use one of the faceting functions to indicate how to slice up the graph. There are two main facet functions in the ggplot2 package:

Multiple graphs on one page (ggplot2), To create a plot by combining two plots from different data frames, you can pass the data frames at the geom level as follows:. R makes it easy to combine multiple plots into one overall graph, using either the par() or layout() function. streamName: the streaming query name. The dataset is shipped with ggplot2 package. Mittal for free with a 30 day free trial. It is same as microarray data except that instead of expression values, you will have counts.

ggplot combining two plots from different data.frames, In this tutorial, We will learn how to combine multiple ggplot plots to plot backgrounds, etc. and also combining multiple plots into one Finally, we will use cowplot function plot_grid() to combine the two plots of our interest. By default, the axes are linearly scaled. Arrange Multiple ggplots. ggplot2 is a plotting package that makes it simple to create complex plots from data in a data frame. Let us see how to Create an R ggplot2 boxplot, Format the colors, changing labels, drawing horizontal boxplots, and plot multiple boxplots using R ggplot2 with an example.

Comments
  • bind_rows() those two dataframes together and then use facet_wrap() or look at stackoverflow.com/questions/1249548/… for more suggestions
  • No problem! Please accept it as the answer if it worked for you.
  • If i would mix the two plots in one plot?is it possible?
  • It should be possible to mix them. I would experiment with the group option in aes. If you can combine your dataframes into a single dataframe (using rbind), then add a grouping variable for each year (eg, df$year = 1994 or 2016, do this before the rbind), then lastly in your ggplot call try to add (aes(x=BOTTOM_TEMP... group=year)). If you want more help on this problem I would suggest opening another question (since the above question is about plotting side by side) and providing a reproducible example complete with data.