# 安装包
if (!requireNamespace("ggalluvial", quietly = TRUE)) {
install.packages("ggalluvial")
}if (!requireNamespace("ggplot2", quietly = TRUE)) {
install.packages("ggplot2")
}
# 加载包
library(ggalluvial)
library(ggplot2)
桑基图
注记
Hiplot 网站
本页面为 Hiplot Sankey
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:
桑基图是一种流量图,其中箭头的宽度与流量成比例。
环境配置
系统: Cross-platform (Linux/MacOS/Windows)
编程语言: R
依赖包:
ggalluvial
;ggplot2
数据准备
载入数据为 4 个变量及每4种变量组合下的频数。
# 加载数据
<- read.delim("files/Hiplot/158-sankey-data.txt", header = T)
data
# 整理数据格式
<- "Freq"
value <- c("Class", "Sex")
axis <- c()
usr_axis for (i in seq_len(length(axis))) {
<- c(usr_axis, axis[i])
usr_axis assign(paste0("axis", i), axis[i])
}<- match(usr_axis, colnames(data))
index_axis <- match(value, colnames(data))
index_value <- data[, c(index_value, index_axis)]
data1 ## 定义带颜色
<- as.numeric(apply(data1[, -1], 2, function(data) {
nlevels return(length(unique(data)))
}))<- c("#8DD3C7", "#FFFFB3", "#BEBADA", "#FB8072", "#8DD3C7", "#FFFFB3")
band_color ## 重命名数据
<- data1
data_rename colnames(data_rename) <- c(
"value",
paste("axis", seq_len(length(usr_axis)), sep = "")
)
# 查看数据
head(data)
Class Sex Age Survived Freq
1 1st Male Child No 0
2 2nd Male Child No 0
3 3rd Male Child No 35
4 Crew Male Child No 0
5 1st Female Child No 0
6 2nd Female Child No 0
可视化
# 桑基图
<- ggplot(data_rename, aes(y = value, axis1 = axis1, axis2 = axis2)) +
p geom_alluvium(alpha = 1, aes(fill = data1[, colnames(data1) == "Sex"]),
width = 0, reverse = FALSE) +
scale_x_discrete(limits = usr_axis, expand = c(0.02, 0.1)) +
ylab("") +
scale_fill_discrete(name = "Sex") +
coord_flip() +
geom_stratum(alpha = 1, width = 1 / 8, reverse = FALSE, fill = band_color,
color = "white") +
geom_text(stat = "stratum", infer.label = TRUE, reverse = FALSE) +
ggtitle("Sankey plot") +
guides(fill = guide_legend(title = "Sex")) +
scale_fill_manual(values = c("#00468BFF", "#ED0000FF")) +
theme_bw() +
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

female 分流的颜色为蓝色,male 分流的颜色为红色,蓝色分流出去的宽度和等于 female 的总宽度。