我有以下 data.tree 结构。
d <- structure(list(SUBZONE = c("A1", "A2", "A3", "A4", "A8", "B10", "B11", "B2", "B3", "B4"),
ZONE = c("A", "A", "A", "A", "A", "B", "B", "B", "B", "B"),
ID = c(1L, 2L, 3L, 4L, 5L, 7L, 8L, 9L, 10L, 11L)),
.Names = c("SUBZONE", "ZONE", "ID"),
row.names = c(NA, 10L),
class = "data.frame")
d$pathString <- paste("all", d$ZONE,d$SUBZONE, sep = "/")
alltree <-as.Node(d)
plot(alltree)
根据图表和
alltree$Get(function(x) c(level = x$level))
,这棵树有三个不同的级别:
在格式化此图时我想实现两件事:
即使我尝试过,我也不知道如何访问这些级别。在本例中,我有“命名”节点,但并非我拥有的所有树都是如此,因此我想通过其级别号来访问它们。
您可以使用
Traverse
: 获取关卡中所有节点的集合
level1 <- Traverse(alltree, filterFun = function(x) x$level == 1)
level2 <- Traverse(alltree, filterFun = function(x) x$level == 2)
level3 <- Traverse(alltree, filterFun = function(x) x$level == 3)
这允许您根据需要为节点着色,如下所示:
Do(level1, SetNodeStyle, style = "filled", fillcolor = "#fff200",
fontcolor = "black", inherit = FALSE)
Do(level2, SetNodeStyle, style = "filled", fillcolor = "#feadc9",
fontcolor = "black", inherit = FALSE)
Do(level3, SetNodeStyle, style = "filled", fillcolor = "#b5e51a",
fontcolor = "black", inherit = FALSE)
这给出了这个结果:
plot(alltree)
就绘制级别而言,我无法在包本身中找到任何本地方法来执行此操作,但如果您导出为
DiagrammeR
格式,这是可能的。
根据https://cran.r-project.org/web/packages/data.tree/vignettes/applications.html,特别是Jenny Lind(决策树,绘图)的应用,我利用了if控制过滤要修改的级别。看起来自然与这个问题有关。
d <- structure(
list(
SUBZONE = c("A1", "A2", "A3", "A4", "A8", "B10", "B11", "B2", "B3", "B4"),
ZONE = c("A", "A", "A", "A", "A", "B", "B", "B", "B", "B"),
ID = c(1L, 2L, 3L, 4L, 5L, 7L, 8L, 9L, 10L, 11L)
),
.Names = c("SUBZONE", "ZONE", "ID"),
row.names = c(NA, 10L),
class = "data.frame"
)
d$pathString <- paste("all", d$ZONE,d$SUBZONE, sep = "/")
alltree <-as.Node(d)
plot(alltree)
#
alltree$Get(function(x) c(level = x$level))
SetNodeStyle(
alltree,
style = "filled",
fillcolor = function(node) {
if (node$level == 1)
"#fff200"
else if (node$level == 2)
c("#feadc9")
else if (node$level == 3) {
c("#b5e51a")
}
},
fontcolor = "black",
inherit = FALSE,
label = function(node) {
if (node$level == 2) {
sapply(node$name, function(x) {
paste0(x, "+++foo")
})
}
}
)
plot(alltree)
ToDiagrammeRGraph(alltree) |> DiagrammeR::export_graph(file_name="alltree_foo.png", file_type = "png")