As an addition to this question, is it possible to add when an event started and when it finished in another column(s)?
Here is a reproducible example pulled from the OP.
df <- structure(list(Time = structure(c(1463911500, 1463911800, 1463912100,
1463912400, 1463912700, 1463913000), class = c("POSIXct", "POSIXt"
), tzone = ""), Temp = c(20.043, 20.234, 6.329, 20.424, 20.615,
20.805)), row.names = c(NA, -6L), class = "data.frame")
> df
Time Temp
1 2016-05-22 12:05:00 20.043
2 2016-05-22 12:10:00 20.234
3 2016-05-22 12:15:00 6.329
4 2016-05-22 12:20:00 20.424
5 2016-05-22 12:25:00 20.615
6 2016-05-22 12:30:00 20.805
library(dplyr)
df %>%
# add id for different periods/events
mutate(tmp_Temp = Temp > 20, id = rleid(tmp_Temp)) %>%
# keep only periods with high temperature
filter(tmp_Temp) %>%
# for each period/event, get its duration
group_by(id) %>%
summarise(event_duration = difftime(last(Time), first(Time)))
id event_duration
<int> <time>
1 1 5 mins
2 3 10 mins
i.e there are two more columns: "start_DateTime" and "end_DateTime"
Thanks!
Sure. Modify the final summarise() like this:
df %>%
# add id for different periods/events
mutate(tmp_Temp = Temp > 20, id = rleid(tmp_Temp)) %>%
# keep only periods with high temperature
filter(tmp_Temp) %>%
# for each period/event, get its duration
group_by(id) %>%
summarise(event_duration = difftime(last(Time), first(Time)),
start_DateTime = min(Time),
end_DateTime = max(Time))
#> # A tibble: 2 × 4
#> id event_duration start_DateTime end_DateTime
#> <int> <drtn> <dttm> <dttm>
#> 1 1 5 mins 2016-05-22 12:05:00 2016-05-22 12:10:00
#> 2 3 10 mins 2016-05-22 12:20:00 2016-05-22 12:30:00