这是一个选项,我们用map 循环遍历'passings'list 列(根据图像,这将是2 列data.frame 的list),filter 行'title' 是“Закон прийнято”(假设每行只有一个值)和 pull 'date' 列在原始数据集中创建一个新列 'date'
library(dplyr)
library(purrr)
df1 %>%
mutate(date = map_chr(passings, ~ .x %>%
filter(title == "Закон прийнято") %>%
pull(date)))
# id passed passings date
#1 54949 TRUE 2015-06-10, 2015-06-08, abcb, Закон прийнято 2015-06-08
#2 55009 TRUE 2015-06-10, 2015-09-08, bcb, Закон прийнято 2015-09-08
注意:它按预期工作。
数据
df1 <- structure(list(id = c(54949, 55009), passed = c(TRUE, TRUE),
passings = list(structure(list(date = c("2015-06-10", "2015-06-08"
), title = c("abcb", "Закон прийнято")), class = "data.frame", row.names = c(NA,
-2L)), structure(list(date = c("2015-06-10", "2015-09-08"
), title = c("bcb", "Закон прийнято")), class = "data.frame", row.names = c(NA,
-2L)))), row.names = c(NA, -2L), class = "data.frame")