Sent from my phone. Please excuse my brevity.
On June 21, 2016 3:57:54 PM PDT, Alice Domalik <9add2 at queensu.ca> wrote:
>Hi List,
>
>
>I'm working with some bird GPS tracking data, and I would like to
>exclude points based on the time stamp.
>
>Some background information- the GPS loggers track each bird for just
>over 24 hours, starting in the evening, and continuing through the
>night and the following day. What I would like to do is exclude points
>taken after 21:30 on the day AFTER deployment (but retain points
>between 21:30 and 23:59 on the day of deployment).
>
>My data is set up like this:
>
>birdID x y datetime
>15K11 492719.9 5634805 2015-06-23 18:25:00
>
>I've tried running the code posted below.
>The idea is to use the function "mutate" to create a new variable
>called newdate that takes the earliest observation for each bird and
>sets the date for cutoff as the next day at 21:30:00.
>
>library(dplyr); library(lubridate)
>
>df %>%
> group_by(birdID) %>%
>mutate(newdate=as.POSIXct(date(min(datetime)) + days(1) + hours(21) +
>minutes(30))) %>%
> filter(datetime<newdate)
>
>R runs the code, but it doesn't actually change the data frame. I've
>double checked that "datetime" is POSIXct. I've also tried running the
>code without the the last line to check if R will at least create the
>new column "newdate", but it doesn't.
>Any insight into why my code isn't working?
>
> [[alternative HTML version deleted]]
>
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