Define region of interest — define

Define the region of interest for data analysis based on the accelerometer data timestamp.

Usage

define_region(data, start_time, end_time)

Arguments

data: An impactr_data object, as obtained with read_acc().
start_time, end_time: A character string with the start and end times of the region of interest in the "YYYY-MM-DD HH:MM:SS" format.

Value

An object of class impactr_data.

Examples

data <- read_acc(impactr_example("hip-raw.csv"))
define_region(
  data, start_time = "2021-04-06 15:45:00", end_time = "2021-04-06 15:46:00"
)
#> # Start time:              2021-04-06 15:43:00
#> # Sampling frequency:      100Hz
#> # Accelerometer placement: Non-specified
#> # Subject body mass:       Non-specified
#> # Filter:                  No filter applied
#> # Data dimensions:         6,000 × 4
#>    timestamp            acc_X acc_Y acc_Z
#>    <dttm>               <dbl> <dbl> <dbl>
#>  1 2021-04-06 15:45:00 -0.148 -1.05 0.094
#>  2 2021-04-06 15:45:00 -0.098 -1.08 0.176
#>  3 2021-04-06 15:45:00 -0.055 -1.11 0.234
#>  4 2021-04-06 15:45:00 -0.035 -1.12 0.254
#>  5 2021-04-06 15:45:00 -0.02  -1.11 0.23 
#>  6 2021-04-06 15:45:00 -0.004 -1.09 0.184
#>  7 2021-04-06 15:45:00  0.004 -1.06 0.152
#>  8 2021-04-06 15:45:00 -0.004 -1.08 0.152
#>  9 2021-04-06 15:45:00  0.008 -1.15 0.176
#> 10 2021-04-06 15:45:00  0.039 -1.20 0.195
#> # … with 5,990 more rows
#> # ℹ Use `print(n = ...)` to see more rows