README

impactr is a package with functions to read, process and analyse raw accelerometer data related to mechanical loading variables. You can learn more about this package features and how to use it in vignette("impactr").

Installation

install.packages("impactr")

# install.packages("devtools")
devtools::install_github("verasls/impactr")

Usage

library(impactr)

read_acc(impactr_example("hip-raw.csv")) |>
 define_region(
    start_time = "2021-04-06 15:45:00",
    end_time = "2021-04-06 15:45:30"
  ) |>
  specify_parameters(
    acc_placement = "hip",
    subj_body_mass = 78
  ) |>
  filter_acc() |>
  use_resultant() |>
  find_peaks(vector = "resultant") |>
  predict_loading(
    outcome = "grf",
    vector = "resultant",
    model = "walking/running"
  )
#> # Start time:              2021-04-06 15:43:00
#> # Sampling frequency:      100Hz
#> # Accelerometer placement: Hip
#> # Subject body mass:       78kg
#> # Filter:                  Butterworth (4th-ord, low-pass, 20Hz)
#> # Data dimensions:         26 × 3
#>    timestamp           resultant_peak_acc resultant_peak_grf
#>    <dttm>                           <dbl>              <dbl>
#>  1 2021-04-06 15:45:00               1.32              1387.
#>  2 2021-04-06 15:45:01               1.36              1392.
#>  3 2021-04-06 15:45:04               1.30              1384.
#>  4 2021-04-06 15:45:04               2.32              1521.
#>  5 2021-04-06 15:45:05               1.50              1412.
#>  6 2021-04-06 15:45:06               1.68              1435.
#>  7 2021-04-06 15:45:06               1.51              1412.
#>  8 2021-04-06 15:45:07               1.96              1473.
#>  9 2021-04-06 15:45:08               1.37              1393.
#> 10 2021-04-06 15:45:08               1.86              1459.
#> # … with 16 more rows