Deduping of trackframe

This function removes duplicated entries from objects of class trackframe.

Usage

deduping(tf, cols = tf_colnames(tf))

Arguments

tf

an object of class trackframe

cols

determines the unique identifier. Default are the key columns provided by tf_colnames(tf).

Value

an object of class trackframe

Examples

tf1 <- trackframe::tf_mini
tf2 <- tf1
tf2$northing <- 1:11

tf <- trackframe:::rbind.trackframe(tf1, tf1)
deduping(tf)
#>                   time northing  easting      id
#> 1  2025-10-14 13:48:46 48.20835 16.37250 track_1
#> 2  2025-10-14 13:49:46 48.20891 16.37334 track_1
#> 3  2025-10-14 14:15:46 48.20891 16.37334 track_1
#> 4  2025-10-14 14:16:46 48.20820 16.37319 track_1
#> 5  2025-10-14 14:17:46 48.20852 16.37328 track_1
#> 6  2025-10-14 13:48:46 48.20835 16.37250 track_2
#> 7  2025-10-14 13:52:46 48.20835 16.37250 track_2
#> 8  2025-10-14 14:22:46 48.20835 16.37250 track_2
#> 9  2025-10-14 14:23:46 48.20921 16.37231 track_2
#> 10 2025-10-14 13:48:46 48.20835 16.37250 track_3
#> 11 2025-10-14 13:49:46 48.20935 16.37313 track_3

tf <- trackframe:::rbind.trackframe(tf1, tf2)
deduping(tf)
#>                   time northing  easting      id
#> 1  2025-10-14 13:48:46 48.20835 16.37250 track_1
#> 2  2025-10-14 13:49:46 48.20891 16.37334 track_1
#> 3  2025-10-14 14:15:46 48.20891 16.37334 track_1
#> 4  2025-10-14 14:16:46 48.20820 16.37319 track_1
#> 5  2025-10-14 14:17:46 48.20852 16.37328 track_1
#> 6  2025-10-14 13:48:46 48.20835 16.37250 track_2
#> 7  2025-10-14 13:52:46 48.20835 16.37250 track_2
#> 8  2025-10-14 14:22:46 48.20835 16.37250 track_2
#> 9  2025-10-14 14:23:46 48.20921 16.37231 track_2
#> 10 2025-10-14 13:48:46 48.20835 16.37250 track_3
#> 11 2025-10-14 13:49:46 48.20935 16.37313 track_3
#> 12 2025-10-14 13:48:46  1.00000 16.37250 track_1
#> 13 2025-10-14 13:49:46  2.00000 16.37334 track_1
#> 14 2025-10-14 14:15:46  3.00000 16.37334 track_1
#> 15 2025-10-14 14:16:46  4.00000 16.37319 track_1
#> 16 2025-10-14 14:17:46  5.00000 16.37328 track_1
#> 17 2025-10-14 13:48:46  6.00000 16.37250 track_2
#> 18 2025-10-14 13:52:46  7.00000 16.37250 track_2
#> 19 2025-10-14 14:22:46  8.00000 16.37250 track_2
#> 20 2025-10-14 14:23:46  9.00000 16.37231 track_2
#> 21 2025-10-14 13:48:46 10.00000 16.37250 track_3
#> 22 2025-10-14 13:49:46 11.00000 16.37313 track_3
deduping(tf, cols = c("time", "id"))
#>                   time northing  easting      id
#> 1  2025-10-14 13:48:46 48.20835 16.37250 track_1
#> 2  2025-10-14 13:49:46 48.20891 16.37334 track_1
#> 3  2025-10-14 14:15:46 48.20891 16.37334 track_1
#> 4  2025-10-14 14:16:46 48.20820 16.37319 track_1
#> 5  2025-10-14 14:17:46 48.20852 16.37328 track_1
#> 6  2025-10-14 13:48:46 48.20835 16.37250 track_2
#> 7  2025-10-14 13:52:46 48.20835 16.37250 track_2
#> 8  2025-10-14 14:22:46 48.20835 16.37250 track_2
#> 9  2025-10-14 14:23:46 48.20921 16.37231 track_2
#> 10 2025-10-14 13:48:46 48.20835 16.37250 track_3
#> 11 2025-10-14 13:49:46 48.20935 16.37313 track_3