R 将数据帧转换为与树网络兼容的列表
考虑以下数据框:R 将数据帧转换为与树网络兼容的列表,r,networkd3,R,Networkd3,考虑以下数据框: Country Provinces City Zone 1 Canada Newfondland St Johns A 2 Canada PEI Charlottetown B 3 Canada Nova Scotia Halifax C 4 Canada New Brunswick Fredericton D 5 Canada Que
Country Provinces City Zone
1 Canada Newfondland St Johns A
2 Canada PEI Charlottetown B
3 Canada Nova Scotia Halifax C
4 Canada New Brunswick Fredericton D
5 Canada Quebec NA NA
6 Canada Quebec Quebec City NA
7 Canada Ontario Toronto A
8 Canada Ontario Ottawa B
9 Canada Manitoba Winnipeg C
10 Canada Saskatchewan Regina D
是否有一种聪明的方法将其转换为treeNetwork
兼容列表(来自networkD3
包),格式如下:
CanadaPC <- list(name = "Canada",
children = list(
list(name = "Newfoundland",
children = list(list(name = "St. John's",
children = list(list(name = "A"))))),
list(name = "PEI",
children = list(list(name = "Charlottetown",
children = list(list(name = "B"))))),
list(name = "Nova Scotia",
children = list(list(name = "Halifax",
children = list(list(name = "C"))))),
list(name = "New Brunswick",
children = list(list(name = "Fredericton",
children = list(list(name = "D"))))),
list(name = "Quebec",
children = list(list(name = "Quebec City"))),
list(name = "Ontario",
children = list(list(name = "Toronto",
children = list(list(name = "A"))),
list(name = "Ottawa",
children = list(list(name = "B"))))),
list(name = "Manitoba",
children = list(list(name = "Winnipeg",
children = list(list(name = "C"))))),
list(name = "Saskatchewan",
children = list(list(name = "Regina",
children = list(list(name = "D")))))))
对于这种情况,更好的策略可能是递归的
split()
,下面是这样一个实现。首先,这里是示例数据
dd<-structure(list(Country = c("Canada", "Canada", "Canada", "Canada",
"Canada", "Canada", "Canada", "Canada", "Canada", "Canada"),
Provinces = c("Newfondland", "PEI", "Nova Scotia", "New Brunswick",
"Quebec", "Quebec", "Ontario", "Ontario", "Manitoba", "Saskatchewan"
), City = c("St Johns", "Charlottetown", "Halifax", "Fredericton",
NA, "Quebec City", "Toronto", "Ottawa", "Winnipeg", "Regina"
), Zone = c("A", "B", "C", "D", NA, NA, "A", "B", "C",
"D")), class = "data.frame", row.names = c(NA, -10L), .Names = c("Country",
"Provinces", "City", "Zone"))
然后我们就可以跑了
rsplit(dd)
它似乎与测试数据一起工作。唯一的区别是子节点的排列顺序。我认为它没有提供正确的嵌套,因为
treeNetwork()
函数没有呈现预期的输出。我编辑了这个问题以反映正确的dput()
structure输入有什么具体错误?您不包含任何代码来测试结果。实际上,此解决方案不假设一个根节点,因此它返回一个列表。请尝试rsplit(dd)[[1]]
rsplit <- function(x) {
x <- x[!is.na(x[,1]),,drop=FALSE]
if(nrow(x)==0) return(NULL)
if(ncol(x)==1) return(lapply(x[,1], function(v) list(name=v)))
s <- split(x[,-1, drop=FALSE], x[,1])
unname(mapply(function(v,n) {if(!is.null(v)) list(name=n, children=v) else list(name=n)}, lapply(s, rsplit), names(s), SIMPLIFY=FALSE))
}
rsplit(dd)