函数annotation()将相同的标签添加到具有facet的绘图中的所有面板中。如果目的是向每个面板添加不同的注释，或者仅向某些面板添加注释，则必须使用几何图形而不是annotation()。要使用几何图形(例如geom_text())，我们需要组装一个数据帧，其中包含一列中的标签文本和将被映射到其他美学的变量的列，以及用于切面的变量。

通常你会这样做:

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")

它应该在不完全指定因子变量的情况下工作，但可能会抛出一些警告:

我认为对于上面的答案lab=“文本”是无用的，下面的代码也是可以的。

ann_text <- data.frame(mpg = 15,wt = 5,
                       cyl = factor(8,levels = c("4","6","8")))
p + geom_text(data = ann_text,label = "Text" )

但是，如果你想在不同的子图中不同地标记，可以这样做:

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) )

Function annotate() adds the same label to all panels in a plot with facets. If the intention is to add different annotations to each panel, or annotations to only some panels, a geometry has to be used instead of annotate(). To use a geometry, such as geom_text() we need to assemble a data frame containing the text of the labels in one column and columns for the variables to be mapped to other aesthetics, as well as the variable(s) used for faceting. This answer exemplifies this for both facet_wrap() and facet_grid().

以下是没有文字注释的情节:

library(ggplot2)

p <- ggplot(mtcars, aes(mpg, wt)) +
  geom_point() +
  facet_grid(. ~ cyl) +
  theme(panel.spacing = unit(1, "lines"))
p

让我们创建一个额外的数据帧来保存文本注释:

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
)

或者，我们可以手动指定每个标签的位置:

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)
)

我们还可以在两个方面标记图:

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
  )

注:

您可以使用-Inf和Inf来定位面板边缘的文本。 你可以使用hjust和vjust来调整文本的对齐。 文本标签数据帧dat_text应该有一个与facet_grid()或facet_wrap()一起工作的列。

如果有人正在寻找一种为报告或出版物标记facet的简单方法，那么egg (CRAN)包有非常漂亮的tag_facet()和tag_facet_outside()函数。

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)

标签内

默认的

tag_facet(p)

注意:如果你想保留条带文本和背景，尝试添加条带。文本和脱衣。背景回到主题或删除主题(剥离。Text = element_blank()， strip。Background = element_blank())来自原始的tag_facet()函数。

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) 
}

对齐右上方&使用罗马数字

tag_facet(p, x = Inf, y = Inf, 
          hjust = 1.5,
          tag_pool = as.roman(1:nlevels(factor(mtcars$am))))

对齐左下角并使用大写字母

tag_facet(p, 
          x = -Inf, y = -Inf, 
          vjust = -1,
          open = "", close = ")",
          tag_pool = LETTERS)

定义自己的标记

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)

外标签

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)

编辑:添加另一个选择使用粘标签包

- `.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)

由reprex包创建(v0.2.1)

稍微扩展一下joran的精彩回答，来阐明标签数据框架是如何工作的。

你可以把“mpg”和“wt”分别看作x坐标和y坐标(我发现跟踪原始变量名比重命名它们更容易，就像Kamil同样出色的回答一样)。每个标签需要一行，“cyl”列显示每行与哪个方面相关联。

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)

我不知道鸡蛋包裹的事， 这里是一个简单的ggplot2包解决方案

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)