【发布时间】:2018-12-18 17:45:22
【问题描述】:
library(tidyverse)
library(ggplot2)
library(ggstance)
dat <- structure(list(Gender = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("Female", "Male"
), class = "factor"), Status = c("Case", "Case", "Case", "Case",
"Control", "Control", "Control", "Control", "Case", "Case", "Case",
"Case", "Control", "Control", "Control", "Control"), Type = c("Age30",
"Age30", "Age30", "Age30", "Age30", "Age30", "Age30", "Age30",
"Age50", "Age50", "Age50", "Age50", "Age50", "Age50", "Age50",
"Age50"), Risk = c(21.59862, 3.27479, 1.10073, 1.70754, 8.85253,
1.66318, 0.23228, 0.44844, 18.01182, 3.80135, 1.40662, 2.75944,
4.81212, 1.93184, 0.29695, 0.72521), Disease = c("D1", "D2",
"D3", "D4", "D1", "D2", "D3", "D4", "D1", "D2", "D3", "D4", "D1",
"D2", "D3", "D4")), .Names = c("Gender", "Status", "Type", "Risk",
"Disease"), row.names = c(NA, -16L), class = "data.frame")
ggplot(dat, aes(x = Risk, y = forcats::fct_reorder(Status, Risk),
group = Status,
fill = Type)) +
facet_grid(Disease ~ ., switch = 'y') +
geom_barh(aes(fill = interaction(Status, Type)),
stat = 'identity', position = 'stackv', color = "darkgrey",
size = 0.3) +
scale_x_continuous(limits = c(0, 100)) +
labs( y = "Disease", x = "Risk",
plot.title = element_text(hjust = 0.5)) +
theme_minimal() +
theme(
text = element_text(size=10),
strip.text.y = element_text(angle = 0),
axis.text.y=element_blank(),
axis.ticks.y=element_blank(),
plot.title = element_text(size = 11, hjust = 0.5),
legend.position = "bottom",
legend.key.size = unit(0.2, "cm")) +
scale_fill_manual("",
values = c("#756bb1", "#2ca25f", "#bcbddc",
"#99d8c9"),
labels = c("Age 30 Case", "Age 30 Control",
"Age 50 Case", "Age 50 Control"))
我想将我的图例标签的顺序更改为以下(从左到右):
[ ] Age 30 Case [ ] Age 50 Case [ ] Age 30 Control [ ] Age 50 Control
我尝试重新排序values 和labels,但随后条形图的颜色被打乱了。我希望保持颜色不变,即深紫色对应于 30 岁的情况,浅紫色对应于 50 岁的情况。深绿色对应 30 岁对照,浅绿色对应 50 岁对照。
我知道颜色对应于变量的级别,但在我的图中,颜色取决于 2 个变量的组合。所以我想不出一种方法来使用relevel 并更改我的图例标签的顺序。
【问题讨论】:
-
geom_barh函数从何而来?我无法让您的示例正常运行。 -
@bouncyball 来自
library(ggstance)。感谢您指出这一点。
标签: r ggplot2 visualization