Take a sequence of trackframes, data.frame, data.table, tibble to combine columns.
Usage
# S3 method for class 'trackframe'
cbind(...)Examples
tf1 <- trackframe::tf_mini
tf2 <- tf1
tf2$id2 <- "A"
tf1_tf2 <- cbind(tf1, tf2)
tf1_tf2
#> time northing easting id time_1 northing_1
#> 1 2025-10-14 13:48:46 48.20835 16.37250 track_1 2025-10-14 13:48:46 48.20835
#> 2 2025-10-14 13:49:46 48.20891 16.37334 track_1 2025-10-14 13:49:46 48.20891
#> 3 2025-10-14 14:15:46 48.20891 16.37334 track_1 2025-10-14 14:15:46 48.20891
#> 4 2025-10-14 14:16:46 48.20820 16.37319 track_1 2025-10-14 14:16:46 48.20820
#> 5 2025-10-14 14:17:46 48.20852 16.37328 track_1 2025-10-14 14:17:46 48.20852
#> 6 2025-10-14 13:48:46 48.20835 16.37250 track_2 2025-10-14 13:48:46 48.20835
#> 7 2025-10-14 13:52:46 48.20835 16.37250 track_2 2025-10-14 13:52:46 48.20835
#> 8 2025-10-14 14:22:46 48.20835 16.37250 track_2 2025-10-14 14:22:46 48.20835
#> 9 2025-10-14 14:23:46 48.20921 16.37231 track_2 2025-10-14 14:23:46 48.20921
#> 10 2025-10-14 13:48:46 48.20835 16.37250 track_3 2025-10-14 13:48:46 48.20835
#> 11 2025-10-14 13:49:46 48.20935 16.37313 track_3 2025-10-14 13:49:46 48.20935
#> easting_1 id_1 id2
#> 1 16.37250 track_1 A
#> 2 16.37334 track_1 A
#> 3 16.37334 track_1 A
#> 4 16.37319 track_1 A
#> 5 16.37328 track_1 A
#> 6 16.37250 track_2 A
#> 7 16.37250 track_2 A
#> 8 16.37250 track_2 A
#> 9 16.37231 track_2 A
#> 10 16.37250 track_3 A
#> 11 16.37313 track_3 A
class(tf1_tf2)
#> [1] "trackframe" "data.frame"