Man pages for stats19
Work with Open Road Traffic Casualty Data from Great Britain
| accidents_sample | Sample of stats19 data (2022 accidents) |
| casualties_sample | Sample of stats19 data (2022 casualties) |
| check_input_file | Local helper to be reused. |
| dl_stats19 | Download STATS19 data for a year |
| file_names | stats19 file names for easy access |
| find_file_name | Find file names within stats19::file_names. |
| format_casualties | Format STATS19 casualties |
| format_collisions | Format STATS19 'accidents' data |
| format_column_names | Format column names of raw STATS19 data |
| format_ppp | Convert STATS19 data into ppp (spatstat) format. |
| format_sf | Format convert STATS19 data into spatial (sf) object |
| format_vehicles | Format STATS19 vehicles data |
| get_data_directory | Get data download dir |
| get_MOT | Download vehicle data from the DVSA MOT API using VRM. |
| get_stats19 | Download, read and format STATS19 data in one function. |
| get_stats19_adjustments | Download and read-in severity adjustment factors |
| get_ULEZ | Download DVLA-based vehicle data from the TfL API using VRM. |
| get_url | Convert file names to urls |
| locate_files | Locate a file on disk |
| locate_one_file | Pin down a file on disk from four parameters. |
| phrase | Generate a phrase for data download purposes |
| police_boundaries | Police force boundaries in England (2016) |
| read_casualties | Read in STATS19 road safety data from .csv files downloaded. |
| read_collisions | Read in STATS19 road safety data from .csv files downloaded. |
| read_vehicles | Read in stats19 road safety data from .csv files downloaded. |
| schema_original | Schema for stats19 data (UKDS) |
| select_file | Interactively select from options |
| set_data_directory | Set data download dir |
| stats19_schema | Stats19 schema and variables |
| vehicles_sample | Sample of stats19 data (2022 vehicles) |
