I just built a grid with package cowplot
(to label the plots from A-D). The plots are made with package ggplot2
:
pfour<-ggplot(four, aes(x=Concentration, y=Percentage, fill=Phenotype)) +
geom_bar(stat='identity',color='black') +
scale_fill_grey(start = .4, end = .9) +
theme_bw()+ylab("Distribution") +
xlab("Contentration [mg/ml]") +
ggtitle("96 hpf") +
theme(legend.title = element_text(colour="black", size=10, face="bold")) +
theme(legend.background = element_rect(fill="white",
size=0.5, linetype="solid",
colour ="black")) +
scale_x_discrete(limits=c('uninjected','control','0.002', '0.02', '0.2'),
labels=c('uninjected\n(n=251)',
'control\n(n=248)',
'0.002\n(n=205)',
'0.02\n(n=222)',
'0.2\n(n=203)'))
the data looks like that (4 different tables with slightly different percentages but the same principle):
Concentration,Percentage,Phenotype
uninjected,0.996015936,0
uninjected,0,1
uninjected,0.003984064,2
uninjected,0,3
uninjected,0,4
control,0.995967742,0
control,0.004032258,1
control,0,2
control,0,3
control,0,4
0.002,0.985365854,0
0.002,0.004878049,1
0.002,0.004878049,2
0.002,0,3
0.002,0.004878049,4
0.02,0.981981982,0
0.02,0.004504505,1
0.02,0.004504505,2
0.02,0.004504505,3
0.02,0.004504505,4
0.2,0.985221675,0
0.2,0.004926108,1
0.2,0,2
and it looks like that:
the code for that is :
plot_grid(ponezoom, ptwozoom,pthreezoom,pfourzoom, align='h', labels=c('A', 'B','C','D'))
Now I was wondering if it is possible to get one single shared legend for all four plots as it steals a lot of plotspace to have it 4 times. I appreciate any help.
There is a vignette that shows how to do this.
The approach is to build your plots with the legend hidden theme(legend.position="none")
.
Then extract the legend grob from one of those objects.
grobs <- ggplotGrob(pfour)$grobs
legend <- grobs[[which(sapply(grobs, function(x) x$name) == "guide-box")]]
Then plot the legend as a seperate 'plot'. To have the legend at to the right you might do:
# build grid without legends
pgrid <- plot_grid(pone, ptwo, pthree, pfour, ncol = 2)
# add legend
p <- plot_grid(pgrid, legend, ncol = 2, rel_widths = c(1, .1))
You can use ggarrange
function from ggpubr
package. It has a logical argument common.legend
. You just need to set it TRUE
. In your case a code chunk will be:
library(ggpubr)
ggarrange(ponezoom, ptwozoom, pthreezoom, pfourzoom,
align='h', labels=c('A', 'B','C','D'),
common.legend = T)
See example with mtcars
dataset:
library(tidyverse)
library(ggpubr)
# Create first plot
mtcars %>%
ggplot(aes(mpg, hp, color = factor(cyl))) +
geom_point(size = 2) +
theme_minimal()-> plot1
# Create second plot
mtcars %>%
ggplot(aes(disp, drat, color = factor(cyl))) +
geom_point(size = 2) +
theme_minimal() -> plot2
# Create grid
ggpubr::ggarrange(plot1, plot2, # list of plots
labels = "AUTO", # labels
common.legend = T, # COMMON LEGEND
legend = "bottom", # legend position
align = "hv", # Align them both, horizontal and vertical
nrow = 2) # number of rows
Voila:
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