岭图

注记

Hiplot 网站

本页面为 Hiplot Ridge 插件的源码版本教程，您也可以使用 Hiplot 网站实现无代码绘图，更多信息请查看以下链接:

https://hiplot.cn/basic/ridge?lang=zh_cn

岭图是一种将点连接围成形似山岭的图形。

环境配置

• 系统: Cross-platform (Linux/MacOS/Windows)

• 编程语言: R

• 依赖包: ggridges; ggplot2; ggthemes

# 安装包
if (!requireNamespace("ggridges", quietly = TRUE)) {
  install.packages("ggridges")
}
if (!requireNamespace("ggplot2", quietly = TRUE)) {
  install.packages("ggplot2")
}
if (!requireNamespace("ggthemes", quietly = TRUE)) {
  install.packages("ggthemes")
}

# 加载包
library(ggridges)
library(ggplot2)
library(ggthemes)

数据准备

载入数据为三种分组及其对应的数值。

# 加载数据
data <- read.delim("files/Hiplot/154-ridge-data.txt", header = T)

# 整理数据格式
data$group <- factor(data$group, levels = unique(data$group)[length(unique(data$group)):1])

# 查看数据
head(data)

  value group
1   5.1    G1
2   4.9    G1
3   4.7    G1
4   4.6    G1
5   5.0    G1
6   5.4    G1

可视化

# 岭图
p <- ggplot(data, aes(x = value, y = group, fill = group, col = group)) +
  geom_density_ridges(scale = 5, alpha = 0.8) +
  labs(x = "value", y = "group") +
  theme(plot.title = element_text(hjust = 0.5),
        legend.position = "none") +
  ggtitle("Ridge Plot") +
  guides(color = guide_legend(reverse = TRUE),
         fill = guide_legend(reverse = TRUE)) +
  scale_fill_manual(values = c("#e04d39","#5bbad6","#1e9f86")) +
  scale_color_manual(values = c("#e04d39","#5bbad6","#1e9f86")) +
  theme_stata() +
  theme(text = element_text(family = "Arial"),
        plot.title = element_text(size = 12,hjust = 0.5),
        axis.title = element_text(size = 12),
        axis.text = element_text(size = 10),
        axis.text.x = element_text(angle = 0, hjust = 0.5,vjust = 1),
        legend.position = "right",
        legend.direction = "vertical",
        legend.title = element_text(size = 10),
        legend.text = element_text(size = 10))

p

图 1: 岭图

不同颜色表示不同分组，可以观测数据大致的高低程度。