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#' Get the most frequent service for a set of trips.
#'
#' @param trips gtfs dataframe with a service_trips count column
#' @return the trips that are in the most frequent service window
#' @keywords internal
most_frequent_service <- function(trips) {
trips %>%
dplyr::top_n(1, .data$service_trips)
}
#' Filter a gtfs calendar dataframe to service ids for specific days of the week.
#'
#' @param gtfs_object object made by join_all_gtfs_tables
#' @param dow default to "weekday" (1,1,1,1,1,0,0)
#' @return service ids that match the schedule specified
#' @keywords internal
service_by_dow <- function(calendar_df,
dow=c(1,1,1,1,1,0,0)){
calendar_df <- subset(calendar_df,
calendar_df$monday == dow[1] &
calendar_df$tuesday == dow[2] &
calendar_df$wednesday == dow[3] &
calendar_df$thursday == dow[4] &
calendar_df$friday == dow[5] &
calendar_df$saturday == dow[6] &
calendar_df$sunday == dow[7])
return(calendar_df$service_id)
}
#' Summarise the number of trips per service
#'
#' @param gtfsr object
#' @return count of service by id
#' @export
#' @keywords internal
count_service_trips <- function(trips) {
trips %>%
dplyr::group_by(.data$service_id) %>%
dplyr::mutate(service_trips = dplyr::n()) %>%
tibble::as_tibble()
}
#' Get a set of stops for a given set of service ids
#'
#' @param g1 gtfsr object
#' @param service_ids the service for which to get stops
#' @return stops for a given service
#' @keywords internal
stops_for_service <- function(g1, select_service_id) {
some_trips <- g1$trips_df %>%
dplyr::filter(.data$service_id %in% select_service_id)
some_stop_times <- g1$stop_times_df %>%
dplyr::filter(.data$trip_id %in% some_trips$trip_id)
some_stops <- g1$stops_df %>%
dplyr::filter(.data$stop_id %in% some_stop_times$stop_id)
return(some_stops)
}
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