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Filter accident data by collision patterns

filter_collision_pattern.Rd

filter_collision_pattern() filters accident data based on primary and secondary impact conditions for each party involved in the accident.

Usage

filter_collision_pattern(
  data,
  primary_impacts,
  secondary_impacts = NA_character_
)

Arguments

data

A list containing accident data.

primary_impacts

A vector specifying the initial collision points (primary impact) for each involved party.

secondary_impacts

A vector specifying the subsequent collision points (secondary impact) for each involved party (default: NA_character_).

Value

A list containing filtered accident data.

Details

The values of primary_impacts and secondary_impacts are following:

  • "no_impact" : No impact

  • "front" : Front of the vehicle

  • "right" : Right side of the vehicle

  • "rear" : Rear of the vehicle

  • "left" : Left side of the vehicle

  • "front_right": Front right of the vehicle

  • "rear_right" : Rear right of the vehicle

  • "rear_left" : Rear left of the vehicle

  • "front_left" : Front left of the vehicle The order of values in primary_impacts and secondary_impacts corresponds to the party order (party_order).

Examples

if (FALSE) { # \dontrun{
# Filter accident data by cases indicating head-on collisions
head_on_collisions <- filter_collision_pattern(data, c("front", "front"))

# Filter accident data by cases indicating rear-end collisions
rear_end_collisions <- filter_collision_pattern(data, c("rear", "front"))
} # }