Nothing
R/find_cases.R
In rfars: Download and Analyze Crash Data
Defines functions
rollover
road_depart
hit_and_run
large_trucks
drugs
alcohol
speeding
driver_age
pedbike
bicyclist
pedestrian
pedalcyclist
motorcycle
police_pursuit
distracted_driver
Documented in
alcohol
bicyclist
distracted_driver
driver_age
drugs
hit_and_run
large_trucks
motorcycle
pedalcyclist
pedbike
pedestrian
police_pursuit
road_depart
rollover
speeding
#' (Internal) Find crashes involving distracted drivers
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
distracted_driver <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
bind_rows(
df$multi_veh %>%
filter(.data$name == "drdistract",
.data$value != "Not Distracted") %>%
make_id() %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct(),
df$multi_veh %>%
filter(.data$name == "mdrdstrd",
.data$value != "Not Distracted") %>%
make_id() %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct()
) %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving police pursuits
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
police_pursuit <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$multi_acc %>%
filter(.data$name == "crashrf",
.data$value == "Police Pursuit Involved") %>%
make_id() %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving motorcycles
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
motorcycle <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(grepl("motorcycle", .data$body_typ, ignore.case = TRUE)) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving pedalcyclists
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
pedalcyclist <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(.data$per_typ %in% c(
"Bicyclist",
"Person on Non-Motorized Personal Conveyance")) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving pedestrians
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
pedestrian <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(.data$per_typ == "Pedestrian") %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving bicyclists
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
bicyclist <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(.data$per_typ == "Bicyclist") %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving pedstrians or bicyclists
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
pedbike <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(.data$per_typ %in% c("Pedestrian", "Bicyclist")) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving drivers of a given age
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#' @param age_min Lower bound on driver age (inclusive).
#' @param age_max Upper bound on driver age (inclusive).
#'
#' @importFrom rlang .data
driver_age <- function(df, age_min, age_max){
if(any(!is.numeric(age_min), !is.numeric(age_max))) stop("Enter age min and max as numeric")
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(.data$per_typ == "Driver of a Motor Vehicle In-Transport") %>%
mutate(age_n = suppressWarnings(as.numeric(stringr::word(.data$age, 1, sep = " ")))) %>%
filter(!is.na(.data$age_n)) %>%
filter(dplyr::between(.data$age_n, age_min, age_max)) %>%
select("year", "id") %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving speeding
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
speeding <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(grepl("Yes", .data$speedrel)) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving alcohol
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
alcohol <- function(df){
if(any(class(df) %in% c("FARS"))){
out <-
df$flat %>%
filter(.data$dr_drink == "Yes") %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct()
}
if(any(class(df) %in% c("GESCRSS"))){
out <-
df$flat %>%
filter(.data$per_typ == "Driver of a Motor Vehicle In-Transport") %>%
filter(grepl("Yes", .data$drinking)) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct()
}
if(any(class(df) %in% c("FARS", "GESCRSS"))){
return(out)
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving drugs
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
drugs <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(.data$per_typ == "Driver of a Motor Vehicle In-Transport") %>%
filter(grepl("Yes", .data$drugs)) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving large trucks
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
large_trucks <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(
.data$body_typ %in% c(
"Step van (>10,000 lbs. GVWR)",
"Single-unit straight truck or Cab-Chassis (GVWR range 10,001 to 19,500 lbs.)",
"Single-unit straight truck or Cab-Chassis (10,000 lbs. < GVWR < or = 19,500 lbs.)",
"Single-unit straight truck or Cab-Chassis (GVWR range 19,501 to 26,000 lbs.)",
"Single-unit straight truck or Cab-Chassis (19,500 lbs. < GVWR < or = 26,000 lbs.)",
"Single-unit straight truck or Cab-Chassis (GVWR > 26,000 lbs.)",
"Single-unit straight truck or Cab-Chassis (GVWR greater than 26,000 lbs.)",
"Single-unit straight truck or Cab-Chassis (GVWR unknown)",
"Truck-tractor (Cab only, or with any number of trailing unit; any weight)",
"Medium/heavy Pickup (>10,000 lbs. GVWR)",
"Medium/heavy Pickup (GVWR greater than 10,000 lbs.)",
"Unknown medium/heavy truck type"
) |
(.data$body_typ == "Unknown medium/heavy truck type" &
.data$tow_veh %in% c("One Trailing Unit",
"Two Trailing Units")
)
) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find hit and run crashes
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
hit_and_run <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(.data$hit_run == "Yes") %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving road departures
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
road_depart <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(grepl("departure", .data$acc_type, ignore.case = TRUE)) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving rollovers
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
rollover <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(!grepl("No Roll", .data$rollover)) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
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Defines functions rollover road_depart hit_and_run large_trucks drugs alcohol speeding driver_age pedbike bicyclist pedestrian pedalcyclist motorcycle police_pursuit distracted_driver
Documented in alcohol bicyclist distracted_driver driver_age drugs hit_and_run large_trucks motorcycle pedalcyclist pedbike pedestrian police_pursuit road_depart rollover speeding
#' (Internal) Find crashes involving distracted drivers
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
distracted_driver <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
bind_rows(
df$multi_veh %>%
filter(.data$name == "drdistract",
.data$value != "Not Distracted") %>%
make_id() %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct(),
df$multi_veh %>%
filter(.data$name == "mdrdstrd",
.data$value != "Not Distracted") %>%
make_id() %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct()
) %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving police pursuits
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
police_pursuit <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$multi_acc %>%
filter(.data$name == "crashrf",
.data$value == "Police Pursuit Involved") %>%
make_id() %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving motorcycles
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
motorcycle <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(grepl("motorcycle", .data$body_typ, ignore.case = TRUE)) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving pedalcyclists
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
pedalcyclist <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(.data$per_typ %in% c(
"Bicyclist",
"Person on Non-Motorized Personal Conveyance")) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving pedestrians
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
pedestrian <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(.data$per_typ == "Pedestrian") %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving bicyclists
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
bicyclist <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(.data$per_typ == "Bicyclist") %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving pedstrians or bicyclists
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
pedbike <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(.data$per_typ %in% c("Pedestrian", "Bicyclist")) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving drivers of a given age
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#' @param age_min Lower bound on driver age (inclusive).
#' @param age_max Upper bound on driver age (inclusive).
#'
#' @importFrom rlang .data
driver_age <- function(df, age_min, age_max){
if(any(!is.numeric(age_min), !is.numeric(age_max))) stop("Enter age min and max as numeric")
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(.data$per_typ == "Driver of a Motor Vehicle In-Transport") %>%
mutate(age_n = suppressWarnings(as.numeric(stringr::word(.data$age, 1, sep = " ")))) %>%
filter(!is.na(.data$age_n)) %>%
filter(dplyr::between(.data$age_n, age_min, age_max)) %>%
select("year", "id") %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving speeding
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
speeding <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(grepl("Yes", .data$speedrel)) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving alcohol
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
alcohol <- function(df){
if(any(class(df) %in% c("FARS"))){
out <-
df$flat %>%
filter(.data$dr_drink == "Yes") %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct()
}
if(any(class(df) %in% c("GESCRSS"))){
out <-
df$flat %>%
filter(.data$per_typ == "Driver of a Motor Vehicle In-Transport") %>%
filter(grepl("Yes", .data$drinking)) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct()
}
if(any(class(df) %in% c("FARS", "GESCRSS"))){
return(out)
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving drugs
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
drugs <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(.data$per_typ == "Driver of a Motor Vehicle In-Transport") %>%
filter(grepl("Yes", .data$drugs)) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving large trucks
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
large_trucks <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(
.data$body_typ %in% c(
"Step van (>10,000 lbs. GVWR)",
"Single-unit straight truck or Cab-Chassis (GVWR range 10,001 to 19,500 lbs.)",
"Single-unit straight truck or Cab-Chassis (10,000 lbs. < GVWR < or = 19,500 lbs.)",
"Single-unit straight truck or Cab-Chassis (GVWR range 19,501 to 26,000 lbs.)",
"Single-unit straight truck or Cab-Chassis (19,500 lbs. < GVWR < or = 26,000 lbs.)",
"Single-unit straight truck or Cab-Chassis (GVWR > 26,000 lbs.)",
"Single-unit straight truck or Cab-Chassis (GVWR greater than 26,000 lbs.)",
"Single-unit straight truck or Cab-Chassis (GVWR unknown)",
"Truck-tractor (Cab only, or with any number of trailing unit; any weight)",
"Medium/heavy Pickup (>10,000 lbs. GVWR)",
"Medium/heavy Pickup (GVWR greater than 10,000 lbs.)",
"Unknown medium/heavy truck type"
) |
(.data$body_typ == "Unknown medium/heavy truck type" &
.data$tow_veh %in% c("One Trailing Unit",
"Two Trailing Units")
)
) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find hit and run crashes
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
hit_and_run <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(.data$hit_run == "Yes") %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving road departures
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
road_depart <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(grepl("departure", .data$acc_type, ignore.case = TRUE)) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
#' (Internal) Find crashes involving rollovers
#'
#' These internal functions take the FARS object created by use_fars and look
#' for various cases, such as distracted or drowsy drivers.
#'
#' @param df The FARS or GESCRSS data object to be searched.
#'
#' @importFrom rlang .data
rollover <- function(df){
if(any(class(df) %in% c("FARS", "GESCRSS"))){
df$flat %>%
filter(!grepl("No Roll", .data$rollover)) %>%
select(.data$year, .data$id) %>%
make_all_numeric() %>%
distinct() %>%
return()
} else{
stop("Input data must be of type FARS or GESCRSS. Use the results of get_fars() or get_gescrss().")
}
}
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