左连接和 select R 中的下一个时间观察

Question

假设我有两个数据框

df <- data.frame(ID=c("Ana", "Lola", "Ana"),
             Date=c("2020-06-06", "2020-06- 06", "2020-06- 07"),
             meat=c("fish", "poultry", "poultry"),
             time_ordered=c("2020-06-06 12:24:39", "2020-06-06 12:34:36", "2020-06-07 12:24:39"))

df2 <- data.frame(ID=c("Ana","Ana",  "Lola", "Ana"),
             Date=c("2020-06-06", "2020-06-06",  "2020-06- 06", "2020-06- 07"),
             meat=c("fish", "fish", "poultry", "poultry"),
             time_received=c("2020-06-06 12:24:40", "2020-06-06 12:26:49",  "2020-06-07 12:36:39", "2020-06-07 13:04:39"))

假设我想在 ID 和肉上加入这两个数据帧。然后，对于给定的观察，我想将 time_ordered 与其后的第一个 time_received 匹配。例如，我应该有一行“ID = Ana, Data= 2020-06-06, Meat = fish, time_ordered = 2020-06-06 12:24:39, time received = 2020-06-06 12:24:40".

所以我不会将 time_received“2020-06-06 12:26:49”与任何东西匹配。事实上，对于每个 (ID, Meat, time_observed)，我想唯一匹配 (ID, Meat, min(time_received) > time_observed)

在此先感谢您！

Answer 1

通过df2通过ID、meat和Date加入df，仅保留time_received > time_ordered排列数据的行time_received 并仅保留唯一行。

library(dplyr)
library(lubridate)

df %>%
  left_join(df2, by = c('ID', 'meat', 'Date')) %>%
  mutate(Date = ymd(Date), 
         across(c(time_ordered, time_received), ymd_hms)) %>%
  filter(time_received >  time_ordered) %>%
  arrange(ID, Date, meat, time_received) %>%
  distinct(ID, Date, meat, .keep_all = TRUE)

#    ID       Date    meat        time_ordered       time_received
#1  Ana 2020-06-06    fish 2020-06-06 12:24:39 2020-06-06 12:24:40
#2  Ana 2020-06-07 poultry 2020-06-07 12:24:39 2020-06-07 13:04:39
#3 Lola 2020-06-06 poultry 2020-06-06 12:34:36 2020-06-07 12:36:39

左连接和 select R 中的下一个时间观察

Left join and select the next observation in time in R

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tidyverse