将 ggballoonplot 与 R 中的树状图相结合

Question

我有一个简单的气球图，使用ggpballoonplotpacakge：

ggballoonplot(X, x = "cluster", y = "marker", size = "Relative.Expression",
fill = "Median.Intensity", 
ggtheme = theme_classic()) 

我想知道是否可以添加树状图并基于此组织气球图？我知道你可以用corrplot做类似的事情，如：带有Corrplot (R(的树状图，但正在努力将其应用于ggballoonplot函数？

Answer 1

经过几次尝试，我发现将两者结合起来的最佳方法是：

### Build the dendrogram
dend <- as.dendrogram(hclust(d = dist(x = X)))
dendro.plot <- ggdendrogram(dend,rotate = TRUE)
### Use dendrogram order to order column
order <- order.dendrogram(dend) # dendrogram order
X$marker <- factor(x = X$marker,levels = X$marker[order],ordered = TRUE)
### then use grid to combine the two 
grid.newpage()
print(balloon.plot, vp = viewport(x = 0.4, y = 0.45, width = 0.8, height = 0.76))
print(dend, vp = viewport(x = 0.885, y = 0.435, width = 0.2, height = 0.84))
## requires trial and error to get it into the right position. 
## Also ensure that xticks and yticks and labels are set to blank.

欢迎替代解决方案。