counts: Generate counts

In rfars: Download and Analyze Crash Data

Generate counts

Description

Use FARS or GES/CRSS data to generate commonly requested counts.

Usage

counts(
  df,
  what = c("crashes", "fatalities", "injuries", "people")[1],
  interval = c("year", "month")[1],
  where = list(states = "all", region = c("all", "ne", "mw", "s", "w")[1], urb = c("all",
    "rural", "urban")[1]),
  who = c("all", "drivers", "passengers", "bicyclists", "pedestrians")[1],
  involved = c("any", "each", "alcohol", "bicyclist", "distracted driver", "drugs",
    "hit and run", "large trucks", "motorcycle", "older driver", "pedalcyclist",
    "pedbike", "pedestrian", "police pursuit", "roadway departure", "rollover",
    "speeding", "young driver")[1],
  filterOnly = FALSE
)

Arguments

df	The input data object (must be of class 'FARS' or 'GESCRSS' as is produced by get_fars() and get_gescrss()).
what	What to count: crashes (the default), fatalities, injuries, or people involved.
interval	The interval in which to count: months or years (the default).
where	Where to count. Must be a list with any of the elements: states (can be 'all', full or abbreviated state names, or FIPS codes), region ('all', 'ne', 'mw', 's', or 'w'; short for northeast, midwest, south, and west), urb ('all', 'rural', or 'urban'). Any un-specified elements are set to 'all' by default.
who	The type of person to count: 'all' (default) 'drivers', 'passengers', 'pedestrians', or 'bicyclists'.
involved	Factors involved with the crash: 'any' (the default, produces general counts), 'each' (produces separate counts for each factor), 'distracted driver', 'police pursuit', 'motorcycle', 'pedalcyclist', 'bicyclist', 'pedestrian', 'pedbike', 'young driver', 'older driver', 'speeding','alcohol', 'drugs', 'hit and run', 'roadway departure', 'rollover', or 'large trucks'.
filterOnly	Logical, whether to only filter data or reduce to counts (FALSE by default).

Value

Either a filtered tibble (filterOnly=TRUE) or a tibble of counts (filterOnly=FALSE). If filterOnly=TRUE, the tibble that is returned is the 'flat' tibble from the input FARS object, filtered according to other parameters.

If 'df' is a GESCRSS object, the counts returned are the sum of the appropriate weights.

Examples

  ## Not run: 
    counts(get_fars(years = 2019), where = list(states="Virginia", urb="rural"))
  
## End(Not run)

rfars documentation built on Nov. 5, 2025, 7:09 p.m.