我使用了以下ggplot命令:
ggplot(survey, aes(x = age)) + stat_bin(aes(n = nrow(h3), y = ..count.. / n), binwidth = 10)
+ scale_y_continuous(formatter = "percent", breaks = c(0, 0.1, 0.2))
+ facet_grid(hospital ~ .)
+ theme(panel.background = theme_blank())
生产
然而，我想将facet标签更改为更短的内容(如Hosp 1, Hosp 2…)，因为它们现在太长了，看起来很局促(增加图形的高度不是一个选项，它将占用文档中的太多空间)。我查看了facet_grid帮助页面，但不知道如何操作。
当前回答
我现在解决这个问题的方法是使用dplyr::case_when在facet_grid或facet_wrap函数中生成一个标签器。这是@lillemets提出的解决方案的扩展
ggplot(survey, aes(x = age)) + stat_bin(aes(n = nrow(h3), y = ..count.. / n), binwidth = 10)
+ scale_y_continuous(formatter = "percent", breaks = c(0, 0.1, 0.2))
+ facet_grid(case_when(hospital == "Hospital #1" ~ "Hosp1",
hospital == "Hospital #2" ~ "Hosp2") ~ .)
+ theme(panel.background = theme_blank())
如果您有第二个facet标签要更改，那么只需在facet_grid中的~的另一侧使用相同的方法即可
其他回答
这对我很有用。
定义一个因素:
hospitals.factor<- factor( c("H0","H1","H2") )
在ggplot()中使用:
facet_grid( hospitals.factor[hospital] ~ . )
更改底层因子级别的名称，如下所示:
# Using the Iris data
> i <- iris
> levels(i$Species)
[1] "setosa" "versicolor" "virginica"
> levels(i$Species) <- c("S", "Ve", "Vi")
> ggplot(i, aes(Petal.Length)) + stat_bin() + facet_grid(Species ~ .)
我现在解决这个问题的方法是使用dplyr::case_when在facet_grid或facet_wrap函数中生成一个标签器。这是@lillemets提出的解决方案的扩展
ggplot(survey, aes(x = age)) + stat_bin(aes(n = nrow(h3), y = ..count.. / n), binwidth = 10)
+ scale_y_continuous(formatter = "percent", breaks = c(0, 0.1, 0.2))
+ facet_grid(case_when(hospital == "Hospital #1" ~ "Hosp1",
hospital == "Hospital #2" ~ "Hosp2") ~ .)
+ theme(panel.background = theme_blank())
如果您有第二个facet标签要更改，那么只需在facet_grid中的~的另一侧使用相同的方法即可
从米沙巴利亚辛来的一条航线 ：
facet_grid(。~vs, labeller = purrr::partial(label_both, sep = " #"))
看看它的实际应用
library(reprex)
library(tidyverse)
mtcars %>%
ggplot(aes(x="", y=gear,fill=factor(gear), group=am)) +
geom_bar(stat="identity", width=1) +
coord_polar("y", start=0) +
facet_grid(.~vs, labeller = purrr::partial(label_both, sep = " #"))
由reprex包于2021-07-09创建(v2.0.0)
添加另一个类似于@domi的解决方案，解析数学符号、上标、下标、圆括号/方括号等。
library(tidyverse)
theme_set(theme_bw(base_size = 18))
### create separate name vectors
# run `demo(plotmath)` for more examples of mathematical annotation in R
am_names <- c(
`0` = "delta^{15}*N-NO[3]^-{}",
`1` = "sqrt(x,y)"
)
# use `scriptstyle` to reduce the size of the parentheses &
# `bgroup` to make adding `)` possible
cyl_names <- c(
`4` = 'scriptstyle(bgroup("", a, ")"))~T~-~5*"%"',
`6` = 'scriptstyle(bgroup("", b, ")"))~T~+~10~degree*C',
`8` = 'scriptstyle(bgroup("", c, ")"))~T~+~30*"%"'
)
ggplot(mtcars, aes(wt, mpg)) +
geom_jitter() +
facet_grid(am ~ cyl,
labeller = labeller(am = as_labeller(am_names, label_parsed),
cyl = as_labeller(cyl_names, label_parsed))
) +
geom_text(x = 4, y = 25, size = 4, nudge_y = 1,
parse = TRUE, check_overlap = TRUE,
label = as.character(expression(paste("Log"["10"], bgroup("(", frac("x", "y"), ")")))))
### OR create new variables then assign labels directly
# reverse facet orders just for fun
mtcars <- mtcars %>%
mutate(am2 = factor(am, labels = am_names),
cyl2 = factor(cyl, labels = rev(cyl_names), levels = rev(attr(cyl_names, "names")))
)
ggplot(mtcars, aes(wt, mpg)) +
geom_jitter() +
facet_grid(am2 ~ cyl2,
labeller = label_parsed) +
annotate("text", x = 4, y = 30, size = 5,
parse = TRUE,
label = as.character(expression(paste("speed [", m * s^{-1}, "]"))))
由reprex包于2019-03-30创建(v0.2.1.9000)
