Need to ask to print travel_time_matrix result twice to actually print it

[dhersz]

The title is confusing, but I don't really know how to express that in words in a more clearer way.
Everytime I run travel_time_matrix example I can't print it the first time I try to. See example below (note the df typed twice):

# build transport network
path <- system.file("extdata", package = "r5r")
r5r_obj <- setup_r5(data_path = path)

# load origin/destination points
points <- read.csv(system.file("extdata/poa_hexgrid.csv", package = "r5r"))[1:5,]

# estimate travel time matrix
df <- travel_time_matrix( r5r_obj,
                          origins = points,
                          destinations = points,
                          departure_datetime = as.POSIXct("13-03-2019 14:00:00",
                                               format = "%d-%m-%Y %H:%M:%S"),
                          mode = c('WALK', 'TRANSIT'),
                          max_walk_dist = 5,
                          max_trip_duration = 7200
                          )

> df
> df
             fromId   fromLat   fromLon            toId     toLat     toLon travel_time
 1: 89a901291abffff -30.05385 -51.15825 89a901291abffff -30.05385 -51.15825           2
 2: 89a901291abffff -30.05385 -51.15825 89a901295b7ffff -30.07544 -51.16521          54
 3: 89a901291abffff -30.05385 -51.15825 89a901284a3ffff -30.09005 -51.20535         117
 4: 89a901291abffff -30.05385 -51.15825 89a9012809bffff -30.07839 -51.19575          80
 5: 89a9012a3cfffff -30.10058 -51.21187 89a9012a3cfffff -30.10058 -51.21187           3
 6: 89a9012a3cfffff -30.10058 -51.21187 89a901284a3ffff -30.09005 -51.20535          58
 7: 89a9012a3cfffff -30.10058 -51.21187 89a9012809bffff -30.07839 -51.19575         112
 8: 89a901295b7ffff -30.07544 -51.16521 89a901291abffff -30.05385 -51.15825          54
 9: 89a901295b7ffff -30.07544 -51.16521 89a901295b7ffff -30.07544 -51.16521           0
10: 89a901295b7ffff -30.07544 -51.16521 89a901284a3ffff -30.09005 -51.20535         117
11: 89a901295b7ffff -30.07544 -51.16521 89a9012809bffff -30.07839 -51.19575          61
12: 89a901284a3ffff -30.09005 -51.20535 89a9012a3cfffff -30.10058 -51.21187          58
13: 89a901284a3ffff -30.09005 -51.20535 89a901284a3ffff -30.09005 -51.20535           2
14: 89a901284a3ffff -30.09005 -51.20535 89a9012809bffff -30.07839 -51.19575          45
15: 89a9012809bffff -30.07839 -51.19575 89a9012a3cfffff -30.10058 -51.21187          87
16: 89a9012809bffff -30.07839 -51.19575 89a901295b7ffff -30.07544 -51.16521          61
17: 89a9012809bffff -30.07839 -51.19575 89a901284a3ffff -30.09005 -51.20535          46
18: 89a9012809bffff -30.07839 -51.19575 89a9012809bffff -30.07839 -51.19575           0
                                                                   mode
 1: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
 2: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
 3: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
 4: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
 5: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
 6: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
 7: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
 8: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
 9: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
10: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
11: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
12: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
13: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
14: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
15: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
16: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
17: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR
18: WALK TRANSIT;TRAM;SUBWAY;RAIL;BUS;FERRY;CABLE_CAR;GONDOLA;FUNICULAR

[mvpsaraiva]

This happens to me as well. I guess it's some sort of data.table optimisation for large data frames, some 'lazy loading' of sorts. What do you think, @rafapereirabr?

[rafapereirabr]

This happens to me as well. I guess it's some sort of data.table optimisation for large data frames, some 'lazy loading' of sorts. What do you think, @rafapereirabr?

Yep. This shouldn't be a problem.