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 = NULL,
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. Can be any of: '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'. NULL by default.
- 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.