问题是:geom_rect
使用ggplot2防止facet_grid
的缩放。
我想知道它是否是由两个数据帧中的冲突引起的,但不知道如何解决此问题。希望您能够帮助我。
示例代码如下:
library(ggplot2)
data_1 <- data.frame(x = c(seq(from = 1, to = 10, by = 1),
seq(from = 21, to = 50, by = 1)),
y = rnorm(40, mean = 3, sd = 1),
z = c(rep("A", 10), rep("B", 30)))
shade <-
data.frame(xmin = c(2, 6, 39),
xmax = c(3, 8, 43),
ymin = - Inf,
ymax = Inf)
如果不使用geom_rect
,我可以像这样适当地使用facet_grid
进行缩放:
ggplot(data = data_1, aes(x = x, y = y)) +
geom_bar(stat = "identity", fill = "blue") +
facet_grid(.~z, space = "free_x", scales = "free_x")
结果是这样的:
但是,如果我绘制一些geom_rect
,则先前显示的比例将消失,并带有如下代码和图形:
ggplot(data = data_1, aes(x = x, y = y)) +
geom_bar(stat = "identity", fill = "blue") +
geom_rect(data = shade, inherit.aes = FALSE,
mapping = aes(xmin = xmin,
xmax = xmax,
ymin = ymin, ymax = ymax),
fill = 'red', alpha = 0.2) +
facet_grid(.~z, space = "free_x", scales = "free_x")
在绘制这些geom_rect
时如何保持先前在x上的缩放比例?
任何建议都将不胜感激。
答案 0 :(得分:1)
x轴范围发生变化,因为geom_rect
层中的数据超出了原始图的范围。秤的功能完全符合预期。
如果要为每个构面显示不同的矩形,将构面变量包含在shade
中会更干净,并且仅保留xmin
/ xmax
在每个方面的范围内。例如:
library(dplyr)
shade2 <- shade %>%
# add facet-specific x-axis range information from data_1
tidyr::crossing(data_1 %>% group_by(z) %>%
summarise(x1 = min(x),
x2 = max(x)) %>%
ungroup) %>%
# filter for rects within each facet's x-axis range
group_by(z) %>%
filter(xmin >= x1 & xmax <= x2) %>%
ungroup()
> shade2
# A tibble: 3 x 7
xmin xmax ymin ymax z x1 x2
<dbl> <dbl> <dbl> <dbl> <fct> <dbl> <dbl>
1 2 3 -Inf Inf A 1 10
2 6 8 -Inf Inf A 1 10
3 39 43 -Inf Inf B 21 50
图:
ggplot(data = data_1, aes(x = x, y = y)) +
geom_col(fill = "blue") + # geom_col is equivalent to geom_bar(stat = "identity")
geom_rect(data = shade2, inherit.aes = FALSE,
mapping = aes(xmin = xmin, xmax = xmax,
ymin = ymin, ymax = ymax),
fill = 'red', alpha = 0.2) +
facet_grid(.~z, space = "free_x", scales = "free_x")