R ggplot facet_wrap y ticks on different sides - r

Question

For some reason, I have to make a plot that looks more or less like this:
For this I use the following code:
library(ggplot2)
library(tidyverse)
set.seed(10)
df<-data.frame(Meas = runif(1000,0,10),
Prop1 = sample(x = LETTERS[1:3],1000,replace=TRUE),
Prop2 = sample(x = letters[1:5],1000,replace=TRUE),
Prop3 = sample(x=c("monkey","donkey","flipper"),1000,replace=TRUE))%>%
gather(Prop,Propvalue,-Meas)
ggplot(df,aes(x = Propvalue,y=Meas))+
geom_boxplot()+
facet_wrap(~Prop,ncol=2,scales="free_y")+
coord_flip()
I believe this would look better if the y-ticks on the right graph would appear on the right (for the graphs on the left, the y-ticks should remain where they are, but flipper and donkey should appear on the right side to avoid the gap between the left and right panels), but I can't find a way to do this.

Answer 1

Here's a hack that utilises ggplot's sec.axis argument, which creates a secondary axis opposite the primary axis & has to be a one-to-one mapping of it. I call this a hack, because this works only for continuous axis, so we need to map the categorical Propvalue to numeric values.
Note: I assumed in this example that you want all odd numbered PropX facets' labels on the left, & even numbered PropX facets' labels on the right. You can also tweak the options for other variations.
library(ggplot2)
library(tidyverse)
# generate data
set.seed(10)
df<-data.frame(Meas = runif(1000,0,10),
Prop1 = sample(x = LETTERS[1:3],1000,replace=TRUE),
Prop2 = sample(x=c("monkey","donkey","flipper"),1000,replace=TRUE),
Prop3 = sample(x = letters[1:5],1000,replace=TRUE))%>%
gather(Prop,Propvalue,-Meas)
# map Propvalue to integers, primary axis contents, & secondary axis contents.
df2 <- df %>%
mutate(Propvalue.int = as.integer(factor(Propvalue,
levels = df %>% select(Prop, Propvalue) %>%
arrange(Prop, Propvalue) %>% unique() %>%
select(Propvalue) %>% unlist())),
facet.column = ifelse(as.integer(str_extract(Prop, "[0-9]")) %% 2 == 0, 2, 1),
Propvalue.left = ifelse(facet.column == 1, Propvalue, ""),
Propvalue.right = ifelse(facet.column == 2, Propvalue, ""))
# create mapping table
integer2factor <- df2 %>%
select(Propvalue.int, Propvalue.left, Propvalue.right) %>%
unique() %>% arrange(Propvalue.int)
ggplot(df2,aes(x = Propvalue.int, y=Meas,
group = Propvalue.int))+
geom_boxplot() +
scale_x_continuous(breaks = integer2factor$Propvalue.int,
labels = integer2factor$Propvalue.left,
name = "Propvalue",
sec.axis = dup_axis(breaks = integer2factor$Propvalue.int,
labels = integer2factor$Propvalue.right,
name = "")) +
facet_wrap(~Prop,ncol=2,scales="free")+
coord_flip() +
theme(axis.ticks.y = element_blank())

Answer 2

I believe this will do the trick.
library(ggplot2)
library(tidyverse)
library(tidyr)
set.seed(10)
df <-data.frame(Meas = runif(1000,0,10),
Prop1 = sample(x = LETTERS[1:3],1000,replace=TRUE),
Prop2 = sample(x = letters[1:5],1000,replace=TRUE),
Prop3 = sample(x=c("monkey","donkey","flipper"),1000,replace=TRUE))%>%
gather(Prop,Propvalue,-Meas)
ggplot(df,aes(x = Propvalue,y=Meas))+
geom_boxplot()+
facet_wrap(~Prop,ncol=2,scales="free_y")+
coord_flip()
p.list = lapply(sort(unique(df$Prop)), function(i) { # i <- "Prop1"
ggplot(df[df$Prop==i,],aes(x = Propvalue, y=Meas))+
geom_boxplot()+
facet_wrap(~Prop,scales="free_y")+
coord_flip()
})
p.list[[2]] <- p.list[[2]] + scale_x_discrete(position = "top")
library(gridExtra)
do.call(grid.arrange, c(p.list, nrow=2))