Take a sequence of trackframes to combine rows.
Usage
# S3 method for class 'trackframe'
rbind(...)Examples
tf1 <- trackframe::tf_mini
tf2 <- tf1
tf2$id <- c(rep("A",5), rep("B", 4), rep("C",2))
tf2$northing <- 20
tf2$easting <- 10
tf1_tf2 <- rbind(tf1, tf2)
tf1_tf2
#> 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 20.00000 10.00000 A
#> 13 2025-10-14 13:49:46 20.00000 10.00000 A
#> 14 2025-10-14 14:15:46 20.00000 10.00000 A
#> 15 2025-10-14 14:16:46 20.00000 10.00000 A
#> 16 2025-10-14 14:17:46 20.00000 10.00000 A
#> 17 2025-10-14 13:48:46 20.00000 10.00000 B
#> 18 2025-10-14 13:52:46 20.00000 10.00000 B
#> 19 2025-10-14 14:22:46 20.00000 10.00000 B
#> 20 2025-10-14 14:23:46 20.00000 10.00000 B
#> 21 2025-10-14 13:48:46 20.00000 10.00000 C
#> 22 2025-10-14 13:49:46 20.00000 10.00000 C
class(tf1_tf2)
#> [1] "trackframe" "data.frame"