The challenge is a data.frame with with one group variable (id
) and two date variables (start
and stop
). The date intervals are irregular and I'm trying to calculate the uninterrupted interval in days starting from the first start
date per group.
Example data:
data <- data.frame(
id = c(1, 2, 2, 3, 3, 3, 3, 3, 4, 5),
start = as.Date(c("2016-02-18", "2016-12-07", "2016-12-12", "2015-04-10",
"2015-04-12", "2015-04-14", "2015-05-15", "2015-07-14",
"2010-12-08", "2011-03-09")),
stop = as.Date(c("2016-02-19", "2016-12-12", "2016-12-13", "2015-04-13",
"2015-04-22", "2015-05-13", "2015-07-13", "2015-07-15",
"2010-12-10", "2011-03-11"))
)
> data
id start stop
1 1 2016-02-18 2016-02-19
2 2 2016-12-07 2016-12-12
3 2 2016-12-12 2016-12-13
4 3 2015-04-10 2015-04-13
5 3 2015-04-12 2015-04-22
6 3 2015-04-14 2015-05-13
7 3 2015-05-15 2015-07-13
8 3 2015-07-14 2015-07-15
9 4 2010-12-08 2010-12-10
10 5 2011-03-09 2011-03-11
The aim would a data.frame like this:
id start stop duration_from_start
1 1 2016-02-18 2016-02-19 2
2 2 2016-12-07 2016-12-12 7
3 2 2016-12-12 2016-12-13 7
4 3 2015-04-10 2015-04-13 34
5 3 2015-04-12 2015-04-22 34
6 3 2015-04-14 2015-05-13 34
7 3 2015-05-15 2015-07-13 34
8 3 2015-07-14 2015-07-15 34
9 4 2010-12-08 2010-12-10 3
10 5 2011-03-09 2011-03-11 3
Or this:
id start stop duration_from_start
1 1 2016-02-18 2016-02-19 2
2 2 2016-12-07 2016-12-13 7
3 3 2015-04-10 2015-05-13 34
4 4 2010-12-08 2010-12-10 3
5 5 2011-03-09 2011-03-11 3
It's important to identify the gap from row 6
to 7
and to take this point as the maximum interval (34
days). The interval 2018-10-01
to 2018-10-01
would be counted as 1
.
My usual lubridate
approaches don't work with this example (interval %within lag(interval)
).
Any idea?