I use facet_rep_grid to visualize different variables over the same x-axis. Now I would like to label the top left of each facet with "A", "B", "C" etc.
what i have looks similar to this, but with more difference in the y-axis between the single facets:
library(dplyr)
library(ggplot2)
library(ggthemes)
library(lemon)
library(grid)
library(cowplot)
# mpg dataset from ggplot2
mylabs <- c("facet 1", " facet 2", 'facet 3', 'facet 4')
names(mylabs) <- c(4,5,6,8)
ggplot(mpg,aes(x=year, y=hwy)) +
geom_point()+
facet_rep_grid(cyl~., switch='y', scales="free", labeller=labeller(cyl=mylabs))+
theme(strip.placement = "outside",
strip.background = element_blank(),
axis.title.y = element_blank())
what I want is:
I tried adjusting this , which would be good for the "A" only.
ggplot(mpg,aes(x=year, y=hwy)) +
geom_point()+
facet_rep_grid(cyl~., switch='y', scales="free", labeller=labeller(cyl=mylabs))+
theme(strip.placement = "outside",
strip.background = element_blank(),
axis.title.y = element_blank())+
labs(tag = "A/ only one") +
coord_cartesian(clip = "off")
I also found this but i am unable to move the label outside of the plot.
ggplot(mpg,aes(x=year, y=hwy)) +
geom_point()+
facet_rep_grid(cyl~., switch='y', scales="free", labeller=labeller(cyl=mylabs))+
theme(strip.placement = "outside",
strip.background = element_blank(),
axis.title.y = element_blank())+
coord_cartesian(clip = "off")+
geom_text(data = myLab, aes(x = -500, y = 10, label = mylabs), hjust =0)
One option would be to use patchwork
, i.e. create your plot via separate charts. Afterwards you can add your tags easily via plot_annotation
.
library(ggplot2)
#> Warning: package 'ggplot2' was built under R version 4.2.3
library(patchwork)
#> Warning: package 'patchwork' was built under R version 4.3.1
mylabs <- c("facet 1", " facet 2", "facet 3", "facet 4")
names(mylabs) <- c(4, 5, 6, 8)
myfun <- function(.data, cyl) {
remove_x <- if (cyl != "8") {
theme(
axis.title.x = element_blank(),
axis.text.x = element_blank()
)
}
ggplot(.data, aes(x = year, y = hwy)) +
geom_point() +
scale_x_continuous(limits = range(mpg$year)) +
facet_grid(cyl ~ .,
switch = "y", scales = "free_y",
labeller = labeller(cyl = mylabs)
) +
theme(
strip.placement = "outside",
strip.background = element_blank(),
axis.title.y = element_blank(),
plot.margin = margin()
) +
remove_x
}
mpg |>
split(~cyl) |>
purrr::imap(
myfun
) |>
wrap_plots(ncol = 1) &
plot_annotation(tag_levels = "A")