I want to annotate some text on last facet of the plot with the following code:
library(ggplot2)
p <- ggplot(mtcars, aes(mpg, wt)) + geom_point()
p <-
I think for the answer above lab="Text" is useless, the code below is also ok.
ann_text <- data.frame(mpg = 15,wt = 5,
cyl = factor(8,levels = c("4","6","8")))
p + geom_text(data = ann_text,label = "Text" )
However if you want to label differently in different sub-graphs, it will be ok in this way:
ann_text <- data.frame(mpg = c(14,15),wt = c(4,5),lab=c("text1","text2"),
cyl = factor(c(6,8),levels = c("4","6","8")))
p + geom_text(data = ann_text,aes(label =lab) )
I did not know about the egg
package,
so here is a plain ggplot2
package solution
library(tidyverse)
library(magrittr)
Data1=data.frame(A=runif(20, min = 0, max = 100), B=runif(20, min = 0, max = 250), C=runif(20, min = 0, max = 300))
Data2=data.frame(A=runif(20, min = -10, max = 50), B=runif(20, min = -5, max = 150), C=runif(20, min = 5, max = 200))
bind_cols(
Data1 %>% gather("Vars","Data_1"),
Data2 %>% gather("Vars","Data_2")
) %>% select(-Vars1) -> Data_combined
Data_combined %>%
group_by(Vars) %>%
summarise(r=cor(Data_1,Data_2),
r2=r^2,
p=(pt(abs(r),nrow(.)-2)-pt(-abs(r),nrow(.)-2))) %>%
mutate(rlabel=paste("r:",format(r,digits=3)),
plabel=paste("p:",format(p,digits=3))) ->
label_df
label_df %<>% mutate(x=60,y=190)
Data_combined %>%
ggplot(aes(x=Data_1,y=Data_2,color=Vars)) +
geom_point() +
geom_smooth(method="lm",se=FALSE) +
geom_text(data=label_df,aes(x=x,y=y,label=rlabel),inherit.aes = FALSE) +
geom_text(data=label_df,aes(x=x,y=y-10,label=plabel),inherit.aes = FALSE) +
facet_wrap(~ Vars)
Typically you'd do something like this:
ann_text <- data.frame(mpg = 15,wt = 5,lab = "Text",
cyl = factor(8,levels = c("4","6","8")))
p + geom_text(data = ann_text,label = "Text")
It should work without specifying the factor variable completely, but will probably throw some warnings:
If anyone is looking for an easy way to label facets for reports or publications, the egg (CRAN) package has pretty nifty tag_facet()
& tag_facet_outside()
functions.
library(ggplot2)
p <- ggplot(mtcars, aes(qsec, mpg)) +
geom_point() +
facet_grid(. ~ am) +
theme_bw(base_size = 12)
# install.packages('egg', dependencies = TRUE)
library(egg)
Default
tag_facet(p)
Note: if you want to keep the strip text and background, try adding strip.text and strip.background back in theme
or remove theme(strip.text = element_blank(), strip.background = element_blank())
from the original tag_facet()
function.
tag_facet <- function(p, open = "(", close = ")", tag_pool = letters, x = -Inf, y = Inf,
hjust = -0.5, vjust = 1.5, fontface = 2, family = "", ...) {
gb <- ggplot_build(p)
lay <- gb$layout$layout
tags <- cbind(lay, label = paste0(open, tag_pool[lay$PANEL], close), x = x, y = y)
p + geom_text(data = tags, aes_string(x = "x", y = "y", label = "label"), ..., hjust = hjust,
vjust = vjust, fontface = fontface, family = family, inherit.aes = FALSE)
}
Align top right & use Roman numerals
tag_facet(p, x = Inf, y = Inf,
hjust = 1.5,
tag_pool = as.roman(1:nlevels(factor(mtcars$am))))
Align bottom left & use capital letters
tag_facet(p,
x = -Inf, y = -Inf,
vjust = -1,
open = "", close = ")",
tag_pool = LETTERS)
Define your own tags
my_tag <- c("i) 4 cylinders", "ii) 6 cyls")
tag_facet(p,
x = -Inf, y = -Inf,
vjust = -1, hjust = -0.25,
open = "", close = "",
fontface = 4,
size = 5,
family = "serif",
tag_pool = my_tag)
p2 <- ggplot(mtcars, aes(qsec, mpg)) +
geom_point() +
facet_grid(cyl ~ am, switch = 'y') +
theme_bw(base_size = 12) +
theme(strip.placement = 'outside')
tag_facet_outside(p2)
Edit: adding another alternative using the stickylabeller package
- `.n` numbers the facets numerically: `"1"`, `"2"`, `"3"`...
- `.l` numbers the facets using lowercase letters: `"a"`, `"b"`, `"c"`...
- `.L` numbers the facets using uppercase letters: `"A"`, `"B"`, `"C"`...
- `.r` numbers the facets using lowercase Roman numerals: `"i"`, `"ii"`, `"iii"`...
- `.R` numbers the facets using uppercase Roman numerals: `"I"`, `"II"`, `"III"`...
# devtools::install_github("rensa/stickylabeller")
library(stickylabeller)
ggplot(mtcars, aes(qsec, mpg)) +
geom_point() +
facet_wrap(. ~ am,
labeller = label_glue('({.l}) am = {am}')) +
theme_bw(base_size = 12)
Created by the reprex package (v0.2.1)
Here's the plot without text annotations:
library(ggplot2)
p <- ggplot(mtcars, aes(mpg, wt)) +
geom_point() +
facet_grid(. ~ cyl) +
theme(panel.spacing = unit(1, "lines"))
p
Let's create an additional data frame to hold the text annotations:
dat_text <- data.frame(
label = c("4 cylinders", "6 cylinders", "8 cylinders"),
cyl = c(4, 6, 8)
)
p + geom_text(
data = dat_text,
mapping = aes(x = -Inf, y = -Inf, label = label),
hjust = -0.1,
vjust = -1
)
Alternatively, we can manually specify the position of each label:
dat_text <- data.frame(
label = c("4 cylinders", "6 cylinders", "8 cylinders"),
cyl = c(4, 6, 8),
x = c(20, 27.5, 25),
y = c(4, 4, 4.5)
)
p + geom_text(
data = dat_text,
mapping = aes(x = x, y = y, label = label)
)
We can also label plots across two facets:
dat_text <- data.frame(
cyl = c(4, 6, 8, 4, 6, 8),
am = c(0, 0, 0, 1, 1, 1)
)
dat_text$label <- sprintf(
"%s, %s cylinders",
ifelse(dat_text$am == 0, "automatic", "manual"),
dat_text$cyl
)
p +
facet_grid(am ~ cyl) +
geom_text(
size = 5,
data = dat_text,
mapping = aes(x = Inf, y = Inf, label = label),
hjust = 1.05,
vjust = 1.5
)
Notes:
-Inf
and Inf
to position text at the edges of a panel.hjust
and vjust
to adjust the text justification.dat_text
should have a column that works with your facet_grid()
or facet_wrap()
.Expanding slightly on joran's excellent answer, to clarify how the label dataframe works.
You can think of "mpg" and "wt" as the x and y coordinates, respectively (I find it easier to keep track of the original variable names than renaming them, as in Kamil's also-excellent answer). You need one row per label, and the "cyl" column shows which facet each row is associated with.
ann_text<-data.frame(mpg=c(25,15),wt=c(3,5),cyl=c(6,8),label=c("Label 1","Label 2"))
ann_text
> mpg wt cyl label
> 25 3 6 Label 1
> 15 5 8 Label 2
p <- ggplot(mtcars, aes(mpg, wt)) + geom_point()
p <- p + facet_grid(. ~ factor(cyl))
p + geom_text(data = ann_text,label=ann_text$label)