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...
ggplot2 - Introduction ggplot2 - Installation of R ggplot2 - Default Plot in R ggplot2 - Working with Axes ggplot2 - Working with Legends ggplot2 - Scatter Plots & Jitter Plots ggplot2 - Bar Plots & Histograms ggplot2 - Pie Charts ggplot2 - Marginal Plots ggplot2 - Bubble Plots & Coun...
There are many R packages/functions forcombining multiple ggplotsinto the same graphics. These include:gridExtra::grid.arrange()andcowplot::plot_grid. Recently, Thomas Lin Pederson developed thepatchworkR package to make very easy the creation ofggplot multiple plots In this article, you will ...
As mentioned in the package description, “Thecowplotpackage is meant to provide a publication-ready theme for ggplot2, one that requires a minimum amount of fiddling with sizes of axis labels, plot backgrounds, etc. and also combining multiple plots into one figure and labeling these plots.” ...
Facet a ggplot into Multiple Panels Source:R/facet.R Create multi-panel plots of a data set grouped by one or two grouping variables. Wrapper aroundfacet_wrap facet(p,facet.by,nrow=NULL,ncol=NULL,scales="fixed",short.panel.labs=TRUE,labeller="label_value",panel.labs=NULL,panel.labs.back...
grid.arrange: Create and arrange multiple plots grid.arrange() and arrangeGrob(): Change column/row span of a plot Add a common legend for multiple ggplot2 graphs Change legend position Scatter plot with marginal density plots Create a complex layout using the function viewport() ggExtra: Add ...
other attached packages: [1] gridExtra_2.0.0 ggplot2_1.0.1 I can think of two solutions. 1. If your goal is to just save the list of plots as R objects, I recommend: saveRDS(object = pltlist, file = "file_path") This way when you wish to reload in these graphs, you can just...
ggp1<-ggplot(data, aes(x, y))+# Create ggplot2 plot objectsgeom_point()ggp2<-ggplot(data, aes(x=1:nrow(data), y))+geom_line()ggp3<-ggplot(data, aes(x))+geom_histogram()ggp4<-ggplot(data, aes(x))+geom_boxplot() In order to draw our ggplot2 plots side-by-side, we firs...
library(ggplot2)# This example uses the ChickWeight dataset, which comes with ggplot2# First plotp1<-ggplot(ChickWeight,aes(x=Time,y=weight,colour=Diet,group=Chick))+geom_line()+ggtitle("Growth curve for individual chicks")# Second plotp2<-ggplot(ChickWeight,aes(x=Time,y=weight,colour=Diet...
(), names_to = "Group", values_to = "Protein") # Count occurrence of each protein in each group df_count <- df_long %>% count(Group, Protein) # Create the plot ggplot(df_count, aes(x = Group, y = n, fill = Protein)) + geom_bar(stat = "identity") + geom_text(aes(...