搜索数据框中最近的日期 [英] Searching for nearest date in data frame

问题描述

我有两个数据框：

purchases:

                time        quantity
  1: 2013-07-31 03:42:02    30       
  2: 2013-07-31 03:59:32    30        
  3: 2013-07-31 04:02:22    28       
  ....

history:

                time        price
  1: 2013-07-31 04:26:46   10
  2: 2013-07-31 07:11:01    10
  3: 2013-07-31 08:16:36     5
  4: 2013-07-31 08:40:03     8
  5: 2013-07-31 08:47:56     7
  ....

我想要什么对采购中的每一行执行：
，查找历史记录中具有最近日期的行（如果可能更小，则购买中的那个）

What I want to do: for each row in 'purchases', look up in 'history' the row with closest date (if possible smaller that the one in 'purchases')

我试图做这样的事情

history <- as.vector(history$time)

对于购买中的每一行：

current.price <- purchases[i,]$time
which(history-current.price)==min(history-current.price)

如果这些值是数字值，但是我不知道如何处理POSIXct类的日期。

This is useful if the values are numeric, but I don't know how to handle theses dates of class POSIXct.

编辑：添加可重复数据

#Reproducible dummy data
p <- read.table(text="
t,quantity
2013-07-31 03:42:02,30
2013-07-31 03:59:32,30
2013-07-31 04:02:22,28",header=TRUE,sep=",")
h <- read.table(text="
t,price
2013-07-31 04:26:46,10
2013-07-31 07:11:01,10
2013-07-31 08:16:36,5
2013-07-31 08:40:03,8
2013-07-31 08:47:56,7",header=TRUE,sep=",")
#Convert to POSIXct
p$t <- as.POSIXct(strptime(p$t, "%Y-%m-%d %H:%M:%S"))
h$t <- as.POSIXct(strptime(h$t, "%Y-%m-%d %H:%M:%S"))

推荐答案

这是一个使用 difftime 。我已经更新了你的例子，以便在历史记录表格的后面加上一些日期。

Here is a solution using difftime. I have updated your example to have some lines with dates posterior to those in the history table.

#Reproducible dummy data
p <- read.table(text="
t,quantity
2013-07-31 03:42:02,30
2013-07-31 03:59:32,30
2013-07-31 04:02:22,28
2013-07-31 04:40:22,28
2013-07-31 05:50:22,28
2013-07-31 08:40:22,28",header=TRUE,sep=",")
h <- read.table(text="
t,price
2013-07-31 04:10:46,10
2013-07-31 04:35:46,10
2013-07-31 07:11:01,10
2013-07-31 08:16:36,5
2013-07-31 08:40:03,8
2013-07-31 08:47:56,7",header=TRUE,sep=",")
#Convert to POSIXct
p$t <- as.POSIXct(strptime(p$t, "%Y-%m-%d %H:%M:%S"))
h$t <- as.POSIXct(strptime(h$t, "%Y-%m-%d %H:%M:%S"))


get_closest_line_in_history <- function(x, history){
  time_diffs <- difftime(x, history)
  time_diffs[time_diffs<0] <- NA

  res <- which.min(time_diffs)
  if (length(res) != 1){
    return(NA)
  }else{
    return(res)
  }
}

sapply(p$t, get_closest_line_in_history, h$t)

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