I have two data frames:
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
....
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')
I was trying to do something like this
history <- as.vector(history$time)
for each row in purchases:
current.price <- purchases[i,]$time
which(history-current.price)==min(history-current.price)
This is useful if the values are numeric, but I don't know how to handle theses dates of class POSIXct.
EDIT: added reproducible data
#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"))