Read in stats19 road safety data from .csv files downloaded.
Usage
read_vehicles(
year = NULL,
filename = "",
data_dir = get_data_directory(),
format = TRUE
)Arguments
- year
Single year for which data are to be read
- filename
Character string of the filename of the .csv to read, if this is given, type and years determine whether there is a target to read, otherwise disk scan would be needed.
- data_dir
Where sets of downloaded data would be found.
- format
Switch to return raw read from file, default is
TRUE.
Details
The function returns a data frame, in which each record is a reported vehicle in the STATS19 dataset for the data_dir and filename provided.
Examples
# \donttest{
if(curl::has_internet()) {
dl_stats19(year = 2019, type = "vehicle")
ve = read_vehicles(year = 2019)
}
#> Files identified: dft-road-casualty-statistics-vehicle-2019.csv
#> https://data.dft.gov.uk/road-accidents-safety-data/dft-road-casualty-statistics-vehicle-2019.csv
#> Failed to download file: https://data.dft.gov.uk/road-accidents-safety-data/dft-road-casualty-statistics-vehicle-2019.csv
#> Warning: The following named parsers don't match the column names: age_band_of_casualty, age_of_casualty, bus_or_coach_passenger, car_passenger, casualty_adjusted_serious, casualty_adjusted_slight, casualty_class, casualty_distance_banding, casualty_imd_decile, casualty_injury_based, casualty_reference, casualty_severity, casualty_type, collision_index, collision_ref_no, collision_year, enhanced_casualty_severity, lsoa_of_casualty, pedestrian_location, pedestrian_movement, pedestrian_road_maintenance_worker, sex_of_casualty, vehicle_reference, carriageway_hazards, carriageway_hazards_historic, collision_adjusted_serious, collision_adjusted_slight, collision_injury_based, collision_severity, date, day_of_week, did_police_officer_attend_scene_of_accident, did_police_officer_attend_scene_of_collision, enhanced_collision_severity, first_road_class, first_road_number, junction_control, junction_detail, junction_detail_historic, latitude, light_conditions, local_authority_district, local_authority_highway, local_authority_highway_current, local_authority_ons_district, location_easting_osgr, location_northing_osgr, longitude, lsoa_of_accident_location, lsoa_of_collision_location, number_of_casualties, number_of_vehicles, pedestrian_crossing, pedestrian_crossing_human_control_historic, pedestrian_crossing_physical_facilities_historic, police_force, road_surface_conditions, road_type, second_road_class, second_road_number, special_conditions_at_site, speed_limit, time, trunk_road_flag, urban_or_rural_area, weather_conditions, accident_index, accident_ref_no, accident_year, effective_date_of_change, previously_published_value, replacement_value, variable, age_band_of_driver, age_of_driver, age_of_vehicle, driver_distance_banding, driver_imd_decile, engine_capacity_cc, escooter_flag, first_point_of_impact, generic_make_model, hit_object_in_carriageway, hit_object_off_carriageway, journey_purpose_of_driver, journey_purpose_of_driver_historic, junction_location, lsoa_of_driver, propulsion_code, sex_of_driver, skidding_and_overturning, towing_and_articulation, vehicle_direction_from, vehicle_direction_to, vehicle_leaving_carriageway, vehicle_left_hand_drive, vehicle_location_restricted_lane, vehicle_location_restricted_lane_historic, vehicle_manoeuvre, vehicle_manoeuvre_historic, vehicle_type
# }