Reputation: 87
I have similar data like the following example:
dat1 <- data.frame(group=c("a", "a","a", "a","a","a","b","b","b","b","b", "b", "b","b","b","c","c","c","c","c","c"),
subgroup=c(paste0("R", rep(1:6)),paste0("R", rep(1:9)),paste0("R", rep(1:6))),
value=c(15,16,12,12,14,5,14,27,20,23,14,10,20,22,14,15,18,14,23,30,32),
pp=c("AT","BT","CT","AA","CC","SE","DN","AS","MM","XT","QQ","HH","MK","HT","dd","US","AG","TT","ZZ","XK","RU"),
clusters=c(rep("cluster1",6),rep("cluster2",9),rep("cluster3",6)))
colors <- c(rep("#74c1e8",6),rep("#808000",9),rep("#FF69B4",6))
names(colors) <- c("cluster1","cluster2","cluster3")
my code is :
pl <- ggplot(dat1, aes(y = pp, x = subgroup))
+ geom_point(aes(size=value))
+ facet_grid(~group, scales="free_x", space = "free")
+ ylab("names")
+ xlab(" ")
+ theme(axis.text.y = element_text(color=colors))
pl
What I want is to add some space on y_axis after each cluster. For example, after cluster 3 (red ones) I want to add some space like space between panels, etc. in the following plot.
Upvotes: 4
Views: 129
Reputation: 3060
My solution converts the y axis to a factor and add geom_hline between each cluster
library(tidyverse)
dat1 <- data.frame(group=c("a", "a","a", "a","a","a","b","b","b","b","b", "b", "b","b","b","c","c","c","c","c","c"),
subgroup=c(paste0("R", rep(1:6)),paste0("R", rep(1:9)),paste0("R", rep(1:6))),
value=c(15,16,12,12,14,5,14,27,20,23,14,10,20,22,14,15,18,14,23,30,32),
pp=c("AT","BT","CT","AA","CC","SE","DN","AS","MM","XT","QQ","HH","MK","HT","dd","US","AG","TT","ZZ","XK","RU"),
clusters=c(rep("cluster1",6),rep("cluster2",9),rep("cluster3",6)))
colors <- c(rep("#74c1e8",6),rep("#808000",9),rep("#FF69B4",6))
names(colors) <- c("cluster1","cluster2","cluster3")
ggplot(dat1, aes(y = factor(pp), x = subgroup)) + geom_point(aes(size=value)) + facet_grid(~group, scales="free_x", space = "free")+
ylab("names") +
xlab(" ") +
theme(axis.text.y = element_text(color=colors)) +
geom_hline(yintercept = 15.5, color = "white", size = 2) +
geom_hline(yintercept = 6.5, color = "white", size = 2)
Upvotes: 4