我有一个要使用ggridge绘制的长度(整数)和年份(因子)的数据集。这是具有整数和因子数据的类似数据集。如何更改y轴上物种的顺序(即因子)?
library(ggplot2)
library(ggridges)
library(viridis)
library(datasets)
order <- c("setosa", "versicolor", "virginica")
ggplot(iris, aes(x = Sepal.Length, y = Species, fill = ..x..), order(Species)) +
geom_density_ridges_gradient(scale = 3, rel_min_height = 0.01) +
scale_fill_viridis(name = "Sepal.Length", option = "A") +
theme_ridges() +
labs(title = 'Sepal Length distributions for irises')
此处order(Species)
或order(order)
不起作用。
我尝试过:
scale_y_reverse(breaks=order), expand = c(0.01, 0))
,但随后意识到这是用于连续变量的(尝试以年份为数字-无效)。
答案 0 :(得分:0)
这是您想要的吗?我在您的代码中添加了mutate(Species = factor(Species, levels = rev(myorder)))
library(dplyr)
library(ggplot2)
library(ggridges)
library(viridis)
library(datasets)
myorder <- c("setosa", "versicolor", "virginica")
iris <- iris %>%
mutate(Species = factor(Species, levels = rev(myorder)))
ggplot(iris, aes(x = Sepal.Length, y = Species, fill = ..x..), Species) +
geom_density_ridges_gradient(scale = 3, rel_min_height = 0.01) +
scale_fill_viridis(name = "Sepal.Length", option = "A") +
theme_ridges() +
labs(title = 'Sepal Length distributions for irises')
#> Picking joint bandwidth of 0.181
由reprex package(v0.2.1.9000)于2018-09-27创建