The goal of metro is to return data frames from the Washington Metropolitan Area Transit Authority API. Nested lists have been converted to tidy data frames when possible.
The release version of metro (0.9.1) can be installed from CRAN:
Or install the development version from GitHub:
Usage of the WMATA API requires a developer API key. Such a key can be obtained by creating a developer account and subscribing to the free default tier.
The WMATA also provides a demo key to try out the various features of the API. This key should never be used in production, it is rate limited and subject to change at any time.
Functions return data frames for easy analysis.
next_train(StationCodes = "A01")
#> # A tibble: 6 × 9
#> Car Destination DestinationCode DestinationName Group Line LocationCode LocationName Min
#> <int> <chr> <chr> <chr> <int> <chr> <chr> <chr> <int>
#> 1 6 Shady Grove <NA> Shady Grove 2 RD A01 Metro Center 0
#> 2 8 Glenmont B11 Glenmont 1 RD A01 Metro Center 2
#> 3 8 Glenmont B11 Glenmont 1 RD A01 Metro Center 5
#> 4 6 Shady Grove <NA> Shady Grove 2 RD A01 Metro Center 8
#> 5 8 Glenmont B11 Glenmont 1 RD A01 Metro Center 11
#> 6 6 Shady Grove <NA> Shady Grove 2 RD A01 Metro Center 14Use coordinates to find station entrances or bus stops near a location. The geodist::geodist() function is used to calculate distance from the supplied coordinates.
# Washington Monument coordinates
rail_entrance(Lat = 38.890, Lon = -77.035, Radius = 750)[, -(3:4)]
#> # A tibble: 6 × 5
#> Name StationCode Lat Lon Distance
#> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 12TH ST NW & JEFERSON DR SW D02 38.9 -77.0 582.
#> 2 12TH ST SW & INDEPENDENCE AVE SW (ELEVATOR) D02 38.9 -77.0 612.
#> 3 12TH ST SW & INDEPENDENCE AVE SW D02 38.9 -77.0 626.
#> 4 12TH ST NW & PENNSYLVANIA AVE NW D01 38.9 -77.0 672.
#> 5 13TH ST NW & PENNSYLVANIA AVE NW (BUILDING) D01 38.9 -77.0 685.
#> 6 12TH ST NW & PENNSYLVANIA AVE NW (ELEVATOR) D01 38.9 -77.0 714.Date columns with class POSIXt have been shifted from Eastern time to the UTC time zone (+5 hours).
bus_position(RouteId = "33")[, 1:8]
#> # A tibble: 8 × 8
#> VehicleID Lat Lon Distance Deviation DateTime TripID RouteID
#> <chr> <dbl> <dbl> <dbl> <dbl> <dttm> <chr> <chr>
#> 1 7139 38.9 -77.0 NA 2 2024-03-11 15:24:28 45406020 33
#> 2 4595 38.9 -77.1 NA -2 2024-03-11 15:24:48 3269020 33
#> 3 7119 38.9 -77.0 NA -1 2024-03-11 15:24:30 9921020 33
#> 4 4783 38.9 -77.1 NA -4 2024-03-11 15:24:45 33498020 33
#> 5 4787 38.9 -77.1 NA 9 2024-03-11 15:24:48 6634020 33
#> 6 7108 38.9 -77.0 NA -2 2024-03-11 15:24:46 3492020 33
#> 7 4600 39.0 -77.1 NA 4 2024-03-11 15:24:28 33552020 33
#> 8 4588 38.9 -77.0 NA 1 2024-03-11 15:24:27 20757020 33Time values are left in Eastern time and are represented using the class hms, which counts the seconds since midnight. If the last train on a Saturday leaves at 1:21 AM (past midnight), this would be represented as 25:21.
tail(rail_times(StationCode = "E10"))
#> # A tibble: 6 × 7
#> StationCode StationName DestinationStation Weekday OpeningTime FirstTime LastTime
#> <chr> <chr> <chr> <chr> <time> <time> <time>
#> 1 E10 Greenbelt F11 Tue 04:50 05:00 23:30
#> 2 E10 Greenbelt F11 Wed 04:50 05:00 23:30
#> 3 E10 Greenbelt F11 Thu 04:50 05:00 23:30
#> 4 E10 Greenbelt F11 Fri 04:50 05:00 26:30
#> 5 E10 Greenbelt F11 Sat 06:50 07:00 26:30
#> 6 E10 Greenbelt F11 Sun 06:50 07:00 23:30Some data frames are includes as objects if their functions typically return the same thing every time.
metro_lines # rail_lines() for live
#> # A tibble: 6 × 5
#> LineCode DisplayName StartStationCode EndStationCode InternalDestination
#> <chr> <chr> <chr> <chr> <list>
#> 1 BL Blue J03 G05 <chr [0]>
#> 2 GR Green F11 E10 <chr [0]>
#> 3 OR Orange K08 D13 <chr [0]>
#> 4 RD Red A15 B11 <chr [2]>
#> 5 SV Silver N06 G05 <chr [0]>
#> 6 YL Yellow C15 E06 <chr [1]>