我们说我有这样的测试数据:
library(data.tree)
df <- structure(list(parent = c("part1", "part3", "part7", "part4",
"part9", "part1"), child = c("part7", "part12", "part4", "part27",
"part10", "part13"), children = c("part4", "", "part27", "",
"", ""), children1 = c("part27", "", "", "", "", ""), pathString = c("Root/part1/part7/part4/part27",
"Root/part3/part12//", "Root/part7/part4/part27/", "Root/part4/part27//",
"Root/part9/part10//", "Root/part1/part13//")), .Names = c("parent",
"child", "children", "children1", "pathString"), row.names = c(NA,
6L), class = "data.frame")
df$children <- ""
df$children1 <- ""
我创建了一个data.tree,如下所示:
test_tree <- as.Node(df)
print(test_tree, limit = 50)
我试图从根目录中获取树中每个父节点的深度。 尝试阅读文档,但我找不到任何与树深相关的内容。
R中有没有办法从这个data.tree图中获取树的深度?
答案 0 :(得分:1)
不确定“来自树的树中每个父节点的深度”是什么意思。也许这个?
library(data.tree)
data(acme)
print(acme, 'height', 'level')
这样的打印方式如下:
levelName height level
1 Acme Inc. 3 1
2 ¦--Accounting 2 2
3 ¦ ¦--New Software 1 3
4 ¦ °--New Accounting Standards 1 3
5 ¦--Research 2 2
6 ¦ ¦--New Product Line 1 3
7 ¦ °--New Labs 1 3
8 °--IT 2 2
9 ¦--Outsource 1 3
10 ¦--Go agile 1 3
11 °--Switch to R 1 3
请注意,height
和level
是Node
上的属性/有效值。所以你也可以打电话给acme$height
。
有关所有活动的列表,请键入?Node
。