Code
checkins_in_interval(x, "timestamp", start, end)
Output
# A tibble: 5 x 3
id timestamp location
<int> <dttm> <int>
1 335 2020-04-19 06:00:00 15637
2 335 2020-04-19 06:04:48 15722
3 335 2020-04-19 06:40:09 15637
4 335 2020-04-19 08:39:31 15722
5 335 2020-04-19 09:00:00 15722
Code
checkins_in_interval(x, "timestamp", start, end)
Output
# A tibble: 1 x 3
id timestamp location
<int> <dttm> <int>
1 NA 2020-04-18 23:00:00 NA
Code
checkins_in_interval(x, "timestamp", start, end)
Output
# A tibble: 3 x 3
id timestamp location
<int> <dttm> <int>
1 NA 2020-04-19 00:00:00 NA
2 335 2020-04-19 00:41:46 32576
3 335 2020-04-19 00:59:59 32576
Code
checkins_in_interval(x, "timestamp", start, end, start_loc = FALSE)
Output
# A tibble: 2 x 3
id timestamp location
<int> <dttm> <int>
1 335 2020-04-19 00:41:46 32576
2 335 2020-04-19 00:59:59 32576
Code
checkins_in_interval(x, "timestamp", start, end)
Output
# A tibble: 2 x 3
id timestamp location
<int> <dttm> <int>
1 335 2020-05-08 09:40:11 32576
2 335 2020-05-08 10:40:11 32576
Code
checkins_in_interval(x, "timestamp", start, end, end_loc = FALSE)
Output
# A tibble: 1 x 3
id timestamp location
<int> <dttm> <int>
1 335 2020-05-08 09:40:11 32576
Code
checkins_in_interval(x, "timestamp", start, end, start_loc = TRUE, end_loc = TRUE)
Output
# A tibble: 2 x 3
id timestamp location
<int> <dttm> <int>
1 335 2020-05-08 10:40:11 32576
2 335 2020-05-08 11:40:11 32576
Code
checkins_in_interval(x, "timestamp", start, end, start_loc = FALSE, end_loc = FALSE)
Output
# A tibble: 0 x 3
# ... with 3 variables: id <int>, timestamp <dttm>, location <int>
# i Use `colnames()` to see all variable names
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