I have a database of many individuals that have been tracked for a long time and I'm trying to remove the first 24h of data for each one of them. This is done to remove data on potentially unnatural behaviour as a result of manipulation during the tagging process in future analyses. It has been tricky to solve because many have different starting dates.
Thanks.
My data is basically looks like this:
datetime Ind Lat Long
2019-04-02 08:54:03 Animal_1 Y X
2019-04-02 09:01:13 Animal_2 Y X
2019-04-02 15:45:22 Animal_1 Y X
2019-04-03 17:31:50 Animal_1 Y X
2019-04-03 21:24:38 Animal_1 Y X
2019-04-04 00:01:24 Animal_1 Y X
2019-04-04 00:01:24 Animal_1 Y X
2019-04-05 03:32:56 Animal_1 Y X
2019-04-05 18:42:07 Animal_3 Y X
2019-04-06 17:16:24 Animal_1 Y X
.
.
.
2021-10-14 12:34:56 Animal_1 Y X
2021-10-15 16:05:50 Animal_20 Y X
2021-10-15 22:29:37 Animal_15 Y X
I have tried adapting code I've found in other relatively similar questions but haven't succeeded..
How about something like this:
library(dplyr)
library(lubridate)
dat %>%
arrange(Ind, datetime) %>%
group_by(Ind) %>%
filter(datetime > min(datetime) + hours(24))