I am working on an analysis of animal locations that requires locations for each animal to be 60 minutes or greater apart. Time differences in locations among animals does not matter. The data set has a list of animal IDs and date and time of each location, example below. 

For example, for animal 6 below, starting at the 16:19 location, the code would iterate through locations until it finds a location that is 60+ minutes from 16:19. In this case it would be the 17:36 location. Then, the code would start from the 17:36 location to find the next location (18:52) 60+ minutes, and so on. Each of the locations 60+ minutes from each other would then be extracted to a separate dataframe.

I have wrote a loop in R to subset the data, but having issue with the code not accounting for a change in date when calculating if locations are 60 minutes or greater.

I have been exploring the lubridate package, which seems like it may have an easier way to address subsetting my data. However, I have not yet found a solution to subsetting the data to my specifications using this package. Any suggestions for using lubridate or an alternative method would be greatly appreciated.

Thank you in advance for your consideration.

```
>data(locdata);
>view(locdata);
id  date    time
6   30-Jun-09   16:19
6   30-Jun-09   16:31
6   30-Jun-09   17:36
6   30-Jun-09   17:45
6   30-Jun-09   18:00
6   30-Jun-09   18:52
6   7-Aug-10    5:30
6   7-Aug-10    5:45
6   7-Aug-10    6:00
6   7-Aug-10    6:45
23  30-Jun-09   17:15
23  30-Jun-09   17:38
23  30-Jun-09   17:56
23  30-Jun-09   20:00
23  30-Jun-09   22:19
23  18-Jul-11   16:22
23  18-Jul-11   17:50
23  18-Jul-11   18:15

```

The output from the example data above would look like this:

```
id  date    time
6   30-Jun-09   16:19
6   30-Jun-09   17:36
6   30-Jun-09   18:52
6   7-Aug-10    5:30
6   7-Aug-10    6:45
23  30-Jun-09   17:15
23  30-Jun-09   20:00
23  30-Jun-09   22:19
23  18-Jul-11   16:22
23  18-Jul-11   17:50

```