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.

Installation

The release version of metro (0.9.1) can be installed from CRAN:

Or install the development version from GitHub:

# install.packages("devtools")
devtools::install_github("kiernann/metro")

Key

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.

Sys.setenv(WMATA_KEY = "e13626d03d8e4c03ac07f95541b3091b")

Example

library(metro)
packageVersion("metro")
#> [1] '0.9.1.9002'

Functions return data frames for easy analysis.

next_train(StationCodes = "A01")
#> # A tibble: 6 x 9
#>     Car Destination DestinationCode DestinationName Group Line  LocationCode LocationName   Min
#>   <int> <chr>       <chr>           <chr>           <int> <chr> <chr>        <chr>        <int>
#> 1     8 Glenmont    B11             Glenmont            1 RD    A01          Metro Center    -1
#> 2     8 Glenmont    B11             Glenmont            1 RD    A01          Metro Center     4
#> 3     8 Shady Gr    A15             Shady Grove         2 RD    A01          Metro Center     5
#> 4     8 Shady Gr    A15             Shady Grove         2 RD    A01          Metro Center     8
#> 5     8 Glenmont    B11             Glenmont            1 RD    A01          Metro Center    10
#> 6     8 Shady Gr    A15             Shady Grove         2 RD    A01          Metro Center    16

Coordinates

Use 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: 5 x 5
#>   Name                                                         StationCode   Lat   Lon Distance
#>   <chr>                                                        <chr>       <dbl> <dbl>    <dbl>
#> 1 NORTH ENTRANCE (MALL EXIT, NORTHEAST OF 12TH ST & JEFERSON … D02          38.9 -77.0     582.
#> 2 SOUTH ELEVATOR ENTRANCE (NORTHWEST CORNER OF 12TH ST & INDE… D02          38.9 -77.0     612.
#> 3 SOUTH ENTRANCE (SOUTHWEST CORNER OF 12TH ST & INDEPENDENCE … D02          38.9 -77.0     626.
#> 4 MAIN ENTRANCE (WEST SIDE 12TH BETWEEN PENNSYLVANIA &  CONNE… D01          38.9 -77.0     672.
#> 5 ELEVATOR ENTRANCE (WEST SIDE 12TH BETWEEN PENNSYLVANIA &  C… D01          38.9 -77.0     714.

Dates and Times

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: 4 x 8
#>   VehicleID   Lat   Lon Distance Deviation DateTime            TripID     RouteID
#>   <chr>     <dbl> <dbl>    <dbl>     <dbl> <dttm>              <chr>      <chr>  
#> 1 6502       38.9 -77.0       NA         8 2021-03-05 19:36:32 1932532080 33     
#> 2 6202       38.9 -77.1       NA        -4 2021-03-05 19:36:41 1932489080 33     
#> 3 6497       38.9 -77.1       NA         3 2021-03-05 19:36:41 1932531080 33     
#> 4 7117       38.9 -77.0       NA         6 2021-03-05 19:36:48 1932487080 33

Time 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 = "A07"))
#> # A tibble: 6 x 7
#>   StationCode StationName   DestinationStation Weekday OpeningTime FirstTime LastTime
#>   <chr>       <chr>         <chr>              <chr>   <time>      <time>    <time>  
#> 1 A07         Tenleytown-AU A15                Fri     05:14       05:46     25:21   
#> 2 A07         Tenleytown-AU B11                Fri     05:14       05:24     24:49   
#> 3 A07         Tenleytown-AU A15                Sat     07:14       07:46     25:21   
#> 4 A07         Tenleytown-AU B11                Sat     07:14       07:24     24:49   
#> 5 A07         Tenleytown-AU A15                Sun     08:14       08:46     23:21   
#> 6 A07         Tenleytown-AU B11                Sun     08:14       08:24     22:49

Data

Some 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 x 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]>