Process SensorLog Daa

Usage

ww_calculate_counts(data, epoch = 60L, lfe_select = FALSE, verbose = TRUE)

ww_calculate_wear(
  data,
  method = c("choi", "troiano"),
  use_magnitude = TRUE,
  ...
)

ww_calculate_nonwear(
  data,
  method = c("choi", "troiano"),
  use_magnitude = TRUE,
  ...
)

ww_process_gt3x(
  data,
  lfe_select = FALSE,
  method = c("choi", "troiano"),
  use_magnitude = TRUE,
  verbose = TRUE,
  ...
)

ww_apply_cole_kripke(data)

ww_apply_tudor_locke(data, ...)

ww_estimate_sleep(data, data_bed_times = NULL, verbose = TRUE)

Arguments

data: A data.frame from ww_read_gt3x
epoch: epoch length in seconds. Default is 60 seconds. See agcounts::calculate_counts
lfe_select: Apply the Actigraph Low Frequency Extension filter. See agcounts::calculate_counts higher values are higher levels of verbosity.
verbose: print diagnostic messages. Either logical or integer, where
method: Method for detecting non-wear, either "choi" or "troiano", corresponding to actigraph.sleepr::apply_choi or actigraph.sleepr::apply_troiano
use_magnitude: If TRUE, the magnitude of the vector (axis1, axis2, axis3) is used to measure activity; otherwise the axis1 value is used.
...: additional arguments to pass to actigraph.sleepr function
data_bed_times: A data.frame containing bed times with columns in_bed_time, out_bed_time, and onset or onset_time. If NULL, ww_apply_tudor_locke is used to estimate sleep metrics.

Value

A data.frame of transformed data

Note

This calls ww_check_data, ww_calculate_distance, and ww_process_time

For ww_process_gt3x, the ... argument are passed to ww_read_gt3x

Examples

path = ww_example_gt3x_file()
ac = ww_read_gt3x(path, verbose = FALSE)
out = ww_calculate_counts(ac)
#> Downloading uv...
#> Done!
#> [1] "Creating Downsampled Data"
#> [1] "Filtering Data"
#> [1] "Trimming Data"
#> [1] "Getting data back to 10Hz for accumulation"
#> [1] "Summing epochs"