假设我有一个嵌套列表,其中包含不同级别的一堆数据帧。我想提取出仅数据框的扁平列表。我怎么用purrr
函数写这个?我应该看reduce
吗?
例如,给定数据:
s <- list(x = 1:10,
data = data.frame(report = LETTERS[1:5],
value = rnorm(5, 20, 5)),
report = list(A = data.frame(x = 1:3, y = c(2, 4, 6)),
B = data.frame(x = 1:3, y = c(3, 6, 9)),
z = 4:10,
other = data.frame(w = 3:5,
color = c("red", "green", "blue"))))
我想要返回的功能:
list(data = data.frame(report = LETTERS[1:5],
value = rnorm(5, 20, 5)),
`report$A` = data.frame(x = 1:3, y = c(2, 4, 6)),
`report$B` = data.frame(x = 1:3, y = c(3, 6, 9)),
`report$other` = data.frame(w = 3:5,
color = c("red", "green", "blue")))
我写了一个递归函数:
recursive_keep <- function(.x, .f) {
loop <- function(.y) {
if(is.list(.y)) {
c(keep(.y, .f), flatten(map(discard(.y, .f), loop)))
} else if(.f(.y)) {
.y
} else {
NULL
}
}
loop(.x)
}
可以称为:
recursive_keep(s, is.data.frame)
它似乎适用于此示例,但它不保留名称信息。我希望保留足够的信息,以便从原始对象中提取数据。也许这是一个更容易回答的问题?
答案 0 :(得分:3)
这个带有单行正文的递归函数保留了名称并且不使用任何包:
rec <- function(x, FUN = is.data.frame)
if (FUN(x)) list(x) else if (is.list(x)) do.call("c", lapply(x, rec, FUN))
str(rec(s)) # test
给出(在输出后继续):
List of 4
$ data :'data.frame': 5 obs. of 2 variables:
..$ report: Factor w/ 5 levels "A","B","C","D",..: 1 2 3 4 5
..$ value : num [1:5] 29.1 19.9 21.2 13 25.2
$ report.A :'data.frame': 3 obs. of 2 variables:
..$ x: int [1:3] 1 2 3
..$ y: num [1:3] 2 4 6
$ report.B :'data.frame': 3 obs. of 2 variables:
..$ x: int [1:3] 1 2 3
..$ y: num [1:3] 3 6 9
$ report.other:'data.frame': 3 obs. of 2 variables:
..$ w : int [1:3] 3 4 5
..$ color: Factor w/ 3 levels "blue","green",..: 3 2 1
关于从原始对象A
report
中获取s
:
s[["report"]][["A"]]
或
ix <- c("report", "A")
s[[ix]]