将 ID 值分配给列表中的名称

Question

我有一个包含日期、ID 和坐标的列表。我有另一个只有值的列表。我想将一个列表中的 ID 分配给列表名称。

例如： 我想从df1 中的拆分ID 列表中将ID 值分配给列表l 中标记为[[1]],[[2]],[[3]],[[4]],[[5]] 的部分.

library(lubridate)
library(tidyverse)

date <- rep_len(seq(dmy("01-01-2010"), dmy("31-12-2013"), by = "days"),1000)
ID <- rep(c("A","B","C", "D", "E"), 100)

df <- data.frame(date = date,
                 x = runif(length(date), min = 60000, max = 80000),
                 y = runif(length(date), min = 800000, max = 900000),
                 ID)

df1 <- df %>% group_split(ID)

l <- list(1,2,3,4,5)

Answer 1

如果我们需要更改名称

names(df1) <- unlist(l)

---

l 是一个 list 的值。如果我们需要从'df1'中提取'ID'

library(purrr)
l <- map(df1, ~ .x$ID)

-输出

l
[[1]]
  [1] "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A"
 [32] "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A"
 [63] "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A"
 [94] "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A"
[125] "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A"
[156] "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A"
[187] "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A" "A"

[[2]]
  [1] "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B"
 [32] "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B"
 [63] "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B"
 [94] "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B"
[125] "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B"
[156] "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B"
[187] "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B" "B"

[[3]]
  [1] "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C"
 [32] "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C"
 [63] "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C"
 [94] "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C"
[125] "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C"
[156] "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C"
[187] "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "C"

[[4]]
  [1] "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D"
 [32] "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D"
 [63] "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D"
 [94] "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D"
[125] "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D"
[156] "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D"
[187] "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D" "D"

[[5]]
  [1] "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E"
 [32] "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E"
 [63] "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E"
 [94] "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E"
[125] "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E"
[156] "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E"
[187] "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E" "E"

Answer 2

你需要这个吗？

df %>% group_split(ID) %>% setNames(c("A","B","C", "D", "E"))