Reputation: 55
Assume I have a dataset that looks like the following:
id date.time date.time1 diff n.diff
___984A39Pok8OrVfPhn2Q 2013-09-14 16:21:09 2013-09-14 16:21:51 -42 secs 42
___984A39Pok8OrVfPhn2Q 2013-09-14 16:21:51 2013-09-14 16:22:22 -31 secs 31
___984A39Pok8OrVfPhn2Q 2013-09-14 16:22:22 2013-09-15 11:42:24 -69602 secs 69602
___984A39Pok8OrVfPhn2Q 2013-09-15 11:42:24 2013-09-15 11:42:39 -15 secs 15
___984A39Pok8OrVfPhn2Q 2013-09-15 11:42:39 2013-09-15 11:43:02 -23 secs 23
___984A39Pok8OrVfPhn2Q 2013-09-15 11:43:02 2013-09-15 11:43:55 -53 secs 53
___984A39Pok8OrVfPhn2Q 2013-09-15 11:43:55 2013-09-15 11:44:28 -33 secs 33
___984A39Pok8OrVfPhn2Q 2013-09-15 11:44:28 2013-09-15 11:45:03 -35 secs 35
___984A39Pok8OrVfPhn2Q 2013-09-15 11:45:03 <NA> NA secs NA
___WYOJCtZPSqDqtBYaiVA 2013-09-09 23:04:32 2013-09-09 23:05:05 -33 secs 33
___WYOJCtZPSqDqtBYaiVA 2013-09-09 23:05:05 <NA> NA secs NA
__-C0RFVOSmYSHyoEn-IYw 2013-09-11 23:18:11 2013-09-11 23:18:26 -15 secs 15
__-C0RFVOSmYSHyoEn-IYw 2013-09-11 23:18:26 2013-09-11 23:18:31 -5 secs 5
__-C0RFVOSmYSHyoEn-IYw 2013-09-11 23:18:31 2013-09-11 23:19:11 -40 secs 40
__-C0RFVOSmYSHyoEn-IYw 2013-09-11 23:19:11 2013-09-11 23:19:31 -20 secs 20
__-C0RFVOSmYSHyoEn-IYw 2013-09-11 23:19:31 2013-09-12 17:07:54 -64103 secs 64103
__-C0RFVOSmYSHyoEn-IYw 2013-09-12 17:07:54 2013-09-12 17:08:02 -8 secs 8
__-C0RFVOSmYSHyoEn-IYw 2013-09-12 17:08:02 2013-09-12 17:08:15 -13 secs 13
__-C0RFVOSmYSHyoEn-IYw 2013-09-12 17:08:15 2013-09-12 17:08:22 -7 secs 7
I want to create a session id by user that consists of all instances where the maximum time out between two sessions is no longer than 30 minutes or 1800 seconds. I should end up with something like this:
id date.time date.time1 diff n.diff session
___984A39Pok8OrVfPhn2Q 2013-09-14 16:21:09 2013-09-14 16:21:51 -42 secs 42 1
___984A39Pok8OrVfPhn2Q 2013-09-14 16:21:51 2013-09-14 16:22:22 -31 secs 31 1
___984A39Pok8OrVfPhn2Q 2013-09-14 16:22:22 2013-09-15 11:42:24 -69602 secs 69602 1
___984A39Pok8OrVfPhn2Q 2013-09-15 11:42:24 2013-09-15 11:42:39 -15 secs 15 2
___984A39Pok8OrVfPhn2Q 2013-09-15 11:42:39 2013-09-15 11:43:02 -23 secs 23 2
___984A39Pok8OrVfPhn2Q 2013-09-15 11:43:02 2013-09-15 11:43:55 -53 secs 53 2
___984A39Pok8OrVfPhn2Q 2013-09-15 11:43:55 2013-09-15 11:44:28 -33 secs 33 2
___984A39Pok8OrVfPhn2Q 2013-09-15 11:44:28 2013-09-15 11:45:03 -35 secs 35 2
___984A39Pok8OrVfPhn2Q 2013-09-15 11:45:03 <NA> NA secs NA 2
___WYOJCtZPSqDqtBYaiVA 2013-09-09 23:04:32 2013-09-09 23:05:05 -33 secs 33 1
___WYOJCtZPSqDqtBYaiVA 2013-09-09 23:05:05 <NA> NA secs NA 1
__-C0RFVOSmYSHyoEn-IYw 2013-09-11 23:18:11 2013-09-11 23:18:26 -15 secs 15 1
__-C0RFVOSmYSHyoEn-IYw 2013-09-11 23:18:26 2013-09-11 23:18:31 -5 secs 5 1
__-C0RFVOSmYSHyoEn-IYw 2013-09-11 23:18:31 2013-09-11 23:19:11 -40 secs 40 1
__-C0RFVOSmYSHyoEn-IYw 2013-09-11 23:19:11 2013-09-11 23:19:31 -20 secs 20 1
__-C0RFVOSmYSHyoEn-IYw 2013-09-11 23:19:31 2013-09-12 17:07:54 -64103 secs 64103 1
__-C0RFVOSmYSHyoEn-IYw 2013-09-12 17:07:54 2013-09-12 17:08:02 -8 secs 8 2
__-C0RFVOSmYSHyoEn-IYw 2013-09-12 17:08:02 2013-09-12 17:08:15 -13 secs 13 2
__-C0RFVOSmYSHyoEn-IYw 2013-09-12 17:08:15 2013-09-12 17:08:22 -7 secs 7 2
Any assistance is appreciated.
Upvotes: 0
Views: 76
Reputation: 1471
First make sure that you are using Date and Time:
# mat = your posted data
mat[ , 2] <- as.POSIXct(mat[ , 2])
mat[ , 3] <- as.POSIXct(mat[ , 3])
than I calculated the differences between
date.time[i]
and date.time[i - 1]
using diff()
. Since I compare the differences and use cumsum()
to generate the IDs, the first element of the resulting logical vector must be TRUE
.
The function for doing that looks as following:
fun <- function(x, ses_TH) cumsum(c(TRUE, diff(x$date.time) > ses_TH))
where ses_TH
is the session threshold, in your example 1800.
Now I use this function over all unique id´s:
get_session_id <- function(mat, ses_TH = 1800){
fun <- function(x, ses_TH) cumsum(c(TRUE, diff(x$date.time) > ses_TH))
unlist(sapply(split(mat, f = mat$ID), fun, ses_TH = ses_TH))
}
The result of get_session_id(mat)
is than:
___984A39Pok8OrVfPhn2Q1 ___984A39Pok8OrVfPhn2Q2 ___984A39Pok8OrVfPhn2Q3
1 1 1
___984A39Pok8OrVfPhn2Q4 ___984A39Pok8OrVfPhn2Q5 ___984A39Pok8OrVfPhn2Q6
2 2 2
___984A39Pok8OrVfPhn2Q7 ___984A39Pok8OrVfPhn2Q8 ___984A39Pok8OrVfPhn2Q9
2 2 2
___WYOJCtZPSqDqtBYaiVA1 ___WYOJCtZPSqDqtBYaiVA2 __-C0RFVOSmYSHyoEn-IYw1
1 1 1
__-C0RFVOSmYSHyoEn-IYw2 __-C0RFVOSmYSHyoEn-IYw3 __-C0RFVOSmYSHyoEn-IYw4
1 1 1
__-C0RFVOSmYSHyoEn-IYw5 __-C0RFVOSmYSHyoEn-IYw6 __-C0RFVOSmYSHyoEn-IYw7
1 2 2
__-C0RFVOSmYSHyoEn-IYw8
2
Upvotes: 1