Note that some GTFS feeds contain a frequency data frame already. Consider using this instead, as it will be more accurate than what tidytransit calculates.

get_route_frequency(gtfs_obj, start_hour = 6, end_hour = 22,
  quiet = FALSE, service_ids = c(), dow = c(1, 1, 1, 1, 1, 0, 0))

Arguments

gtfs_obj

a list of gtfs dataframes as read by the trread package.

start_hour

(optional) an integer, default 6 (6 am)

end_hour

(optional) an integer, default 22 (10 pm)

quiet

default FALSE. whether to echo process messages

service_ids

(optional) a string from the calendar dataframe identifying a particular service schedule.

dow

(optional) an integer vector with days of week. monday=1. default: c(1,1,1,1,1,0,0)

Value

a dataframe of routes with variables (gtfs_obj$.$routes_frequency) for headway/frequency for a route within a given time frame

Examples

data(gtfs_obj) routes_frequency <- get_route_frequency(gtfs_obj)
#> Calculating route and stop headways.
#> [1] "NOTE: A pre-calculated frequencies dataframe exists for this feed already--consider using that."
x <- order(routes_frequency$median_headways) head(routes_frequency[x,])
#> # A tibble: 6 x 6 #> route_id total_departures median_headways mean_headways st_dev_headways #> <chr> <int> <int> <int> <dbl> #> 1 1693 4352 7 7 0.76 #> 2 1683 1212 15 23 34.5 #> 3 1689 2018 21 21 2.48 #> 4 4926 2340 21 21 1.98 #> 5 1690 1257 23 22 3.02 #> 6 1679 513 24 46 82.3 #> # … with 1 more variable: stop_count <int>