Tdailymetrics: Query daily performance statistics.
In MBTAr: Access Data from the Massachusetts Bay Transit Authority (MBTA) Web API
Description
Usage
Arguments
Value
See Also
Examples
Description
Returns day-level summary performance statistics for a specified date or range of dates.
Usage
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Tdailymetrics(route_id=NULL,
from_date=(Sys.Date()-8),
to_date=Sys.Date()-1,
api_key)
Arguments
route_id
GTFS-compatible route_id value for which metrics should be returned. If not specified, will return metrics for all routes.
from_date
The start of the time period that the metrics should be returned for. Must be in YYYY-MM-DD format. Defaults to 8 days ago.
to_date
The end of the time period that the metrics should be returned for. Must be in YYYY-MM-DD format. Defaults to yesterday.
api_key
API key for MBTA API. To obtain one, visit the MBTA Developer
Portal (https://mbta.com/developers/mbta-performance/)
Value
service_date
Date of data for this performance metric
route_id
Route of data for this performance metric
threshold_id
Reference number for this type of performance metric
threshold_type
Type of performance metric (wait time-based or travel time-based)
threshold_name
Text name for this type of performance metric
metric_result
Corresponding result for this performance metric (percentage of trips that met or performed better than this threshold)
See Also
Examples
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## Authenticate:
mykey <- NULL
mykey <- assign("mykey", value = test_key, envir = .GlobalEnv)
## use your own key from http://realtime.mbta.com/Portal/ instead of the test key
Tdailymetrics(route_id="Red", # metrics for the Red Line
from_date=(Sys.Date()-8), # 8 days ago
to_date=Sys.Date()-1, # to yesterday (a full week of performance)
api_key = mykey) # user-defined API key
## Returns:
#
# service_date route_id threshold_id threshold_type threshold_name metric_result
# 1 2015-11-05 Red threshold_id_01 wait_time Headway 0.8623
# 2 2015-11-05 Red threshold_id_02 wait_time Big Gap 0.9398
# 3 2015-11-05 Red threshold_id_03 wait_time 2X Headway 0.9769
# 4 2015-11-05 Red threshold_id_04 travel_time delayed < 3 min. 0.9653
# 5 2015-11-05 Red threshold_id_05 travel_time delayed < 6 min. 0.996
# 6 2015-11-06 Red threshold_id_01 wait_time Headway 0.864
# 7 2015-11-06 Red threshold_id_02 wait_time Big Gap 0.9443
# 8 2015-11-06 Red threshold_id_03 wait_time 2X Headway 0.9814
# 9 2015-11-06 Red threshold_id_04 travel_time delayed < 3 min. 0.9549
# 10 2015-11-06 Red threshold_id_05 travel_time delayed < 6 min. 0.9928
# 11 2015-11-07 Red threshold_id_01 wait_time Headway 0.7365
# 12 2015-11-07 Red threshold_id_02 wait_time Big Gap 0.89
# 13 2015-11-07 Red threshold_id_03 wait_time 2X Headway 0.952
# 14 2015-11-07 Red threshold_id_04 travel_time delayed < 3 min. 0.9853
# 15 2015-11-07 Red threshold_id_05 travel_time delayed < 6 min. 0.9979
# 16 2015-11-08 Red threshold_id_01 wait_time Headway 0.7808
# 17 2015-11-08 Red threshold_id_02 wait_time Big Gap 0.8972
# 18 2015-11-08 Red threshold_id_03 wait_time 2X Headway 0.9582
# 19 2015-11-08 Red threshold_id_04 travel_time delayed < 3 min. 0.9997
# 20 2015-11-08 Red threshold_id_05 travel_time delayed < 6 min. 0.9999
# 21 2015-11-09 Red threshold_id_01 wait_time Headway 0.8515
# 22 2015-11-09 Red threshold_id_02 wait_time Big Gap 0.9344
# 23 2015-11-09 Red threshold_id_03 wait_time 2X Headway 0.9768
# 24 2015-11-09 Red threshold_id_04 travel_time delayed < 3 min. 0.9403
# 25 2015-11-09 Red threshold_id_05 travel_time delayed < 6 min. 0.977
# 26 2015-11-10 Red threshold_id_01 wait_time Headway 0.8698
# 27 2015-11-10 Red threshold_id_02 wait_time Big Gap 0.9479
# 28 2015-11-10 Red threshold_id_03 wait_time 2X Headway 0.9805
# 29 2015-11-10 Red threshold_id_04 travel_time delayed < 3 min. 0.9725
# 30 2015-11-10 Red threshold_id_05 travel_time delayed < 6 min. 0.9976
# 31 2015-11-11 Red threshold_id_01 wait_time Headway 0.8854
# 32 2015-11-11 Red threshold_id_02 wait_time Big Gap 0.9605
# 33 2015-11-11 Red threshold_id_03 wait_time 2X Headway 0.9874
# 34 2015-11-11 Red threshold_id_04 travel_time delayed < 3 min. 0.9856
# 35 2015-11-11 Red threshold_id_05 travel_time delayed < 6 min. 0.9995
# 36 2015-11-12 Red threshold_id_01 wait_time Headway 0.8573
# 37 2015-11-12 Red threshold_id_02 wait_time Big Gap 0.9399
# 38 2015-11-12 Red threshold_id_03 wait_time 2X Headway 0.9772
# 39 2015-11-12 Red threshold_id_04 travel_time delayed < 3 min. 0.9315
# 40 2015-11-12 Red threshold_id_05 travel_time delayed < 6 min. 0.9806
MBTAr documentation built on May 2, 2019, 6:59 a.m.
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Description Usage Arguments Value See Also Examples
Description
Returns day-level summary performance statistics for a specified date or range of dates.
Usage
1 2 3 4 | Tdailymetrics(route_id=NULL,
from_date=(Sys.Date()-8),
to_date=Sys.Date()-1,
api_key)
|
Arguments
route_id |
GTFS-compatible route_id value for which metrics should be returned. If not specified, will return metrics for all routes. |
from_date |
The start of the time period that the metrics should be returned for. Must be in YYYY-MM-DD format. Defaults to 8 days ago. |
to_date |
The end of the time period that the metrics should be returned for. Must be in YYYY-MM-DD format. Defaults to yesterday. |
api_key |
API key for MBTA API. To obtain one, visit the MBTA Developer Portal (https://mbta.com/developers/mbta-performance/) |
Value
service_date |
Date of data for this performance metric |
route_id |
Route of data for this performance metric |
threshold_id |
Reference number for this type of performance metric |
threshold_type |
Type of performance metric (wait time-based or travel time-based) |
threshold_name |
Text name for this type of performance metric |
metric_result |
Corresponding result for this performance metric (percentage of trips that met or performed better than this threshold) |
See Also
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | ## Authenticate:
mykey <- NULL
mykey <- assign("mykey", value = test_key, envir = .GlobalEnv)
## use your own key from http://realtime.mbta.com/Portal/ instead of the test key
Tdailymetrics(route_id="Red", # metrics for the Red Line
from_date=(Sys.Date()-8), # 8 days ago
to_date=Sys.Date()-1, # to yesterday (a full week of performance)
api_key = mykey) # user-defined API key
## Returns:
#
# service_date route_id threshold_id threshold_type threshold_name metric_result
# 1 2015-11-05 Red threshold_id_01 wait_time Headway 0.8623
# 2 2015-11-05 Red threshold_id_02 wait_time Big Gap 0.9398
# 3 2015-11-05 Red threshold_id_03 wait_time 2X Headway 0.9769
# 4 2015-11-05 Red threshold_id_04 travel_time delayed < 3 min. 0.9653
# 5 2015-11-05 Red threshold_id_05 travel_time delayed < 6 min. 0.996
# 6 2015-11-06 Red threshold_id_01 wait_time Headway 0.864
# 7 2015-11-06 Red threshold_id_02 wait_time Big Gap 0.9443
# 8 2015-11-06 Red threshold_id_03 wait_time 2X Headway 0.9814
# 9 2015-11-06 Red threshold_id_04 travel_time delayed < 3 min. 0.9549
# 10 2015-11-06 Red threshold_id_05 travel_time delayed < 6 min. 0.9928
# 11 2015-11-07 Red threshold_id_01 wait_time Headway 0.7365
# 12 2015-11-07 Red threshold_id_02 wait_time Big Gap 0.89
# 13 2015-11-07 Red threshold_id_03 wait_time 2X Headway 0.952
# 14 2015-11-07 Red threshold_id_04 travel_time delayed < 3 min. 0.9853
# 15 2015-11-07 Red threshold_id_05 travel_time delayed < 6 min. 0.9979
# 16 2015-11-08 Red threshold_id_01 wait_time Headway 0.7808
# 17 2015-11-08 Red threshold_id_02 wait_time Big Gap 0.8972
# 18 2015-11-08 Red threshold_id_03 wait_time 2X Headway 0.9582
# 19 2015-11-08 Red threshold_id_04 travel_time delayed < 3 min. 0.9997
# 20 2015-11-08 Red threshold_id_05 travel_time delayed < 6 min. 0.9999
# 21 2015-11-09 Red threshold_id_01 wait_time Headway 0.8515
# 22 2015-11-09 Red threshold_id_02 wait_time Big Gap 0.9344
# 23 2015-11-09 Red threshold_id_03 wait_time 2X Headway 0.9768
# 24 2015-11-09 Red threshold_id_04 travel_time delayed < 3 min. 0.9403
# 25 2015-11-09 Red threshold_id_05 travel_time delayed < 6 min. 0.977
# 26 2015-11-10 Red threshold_id_01 wait_time Headway 0.8698
# 27 2015-11-10 Red threshold_id_02 wait_time Big Gap 0.9479
# 28 2015-11-10 Red threshold_id_03 wait_time 2X Headway 0.9805
# 29 2015-11-10 Red threshold_id_04 travel_time delayed < 3 min. 0.9725
# 30 2015-11-10 Red threshold_id_05 travel_time delayed < 6 min. 0.9976
# 31 2015-11-11 Red threshold_id_01 wait_time Headway 0.8854
# 32 2015-11-11 Red threshold_id_02 wait_time Big Gap 0.9605
# 33 2015-11-11 Red threshold_id_03 wait_time 2X Headway 0.9874
# 34 2015-11-11 Red threshold_id_04 travel_time delayed < 3 min. 0.9856
# 35 2015-11-11 Red threshold_id_05 travel_time delayed < 6 min. 0.9995
# 36 2015-11-12 Red threshold_id_01 wait_time Headway 0.8573
# 37 2015-11-12 Red threshold_id_02 wait_time Big Gap 0.9399
# 38 2015-11-12 Red threshold_id_03 wait_time 2X Headway 0.9772
# 39 2015-11-12 Red threshold_id_04 travel_time delayed < 3 min. 0.9315
# 40 2015-11-12 Red threshold_id_05 travel_time delayed < 6 min. 0.9806
|
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