Calculate traveled time from the naturalistic data

nds_calc_time extracts traveled time from the naturalistic data.

Usage

nds_calc_time(data, by, units = "seconds", valid = "all")

Arguments

data

A tibble or data.frame object containing naturalistic data

by

A column name to group the results

units

The desired time unit ("seconds", "minutes" or "hours")

valid

Option to select all data or valid data ("all", "yes").

Value

A tibble with traveled time results.

Details

This function uses a naturalistic data sample (nds_load_data) as main input and extracts its traveled time, grouping the results by the attributes of the desired variable (parameter by). The time unit can be in "seconds" (default), "minutes" or "hours". It is possible to filter only valid time data using the valid parameter. In it's default, the function uses all data, including invalid times.

See also

nds_load_data; nds_calc_dist

Examples

path <- system.file("extdata", package = "ndsbr")
df <- nds_load_data("driver", path)
#> ℹ Using "','" as decimal and "'.'" as grouping mark. Use `read_delim()` for more control.
#> ℹ Using "','" as decimal and "'.'" as grouping mark. Use `read_delim()` for more control.
#> ℹ Using "','" as decimal and "'.'" as grouping mark. Use `read_delim()` for more control.
nds_calc_time(df, "DRIVER")
#> # A tibble: 1 × 2
#>   `"DRIVER"`  TIME
#>   <chr>      <int>
#> 1 DRIVER     18014