View source: R/data-crunching-functions-dynamic.R
get_single_pp_windowed_results | R Documentation |
Function calculating windowed hrvhra results for a single RR time series
get_single_pp_windowed_results(
RR,
time_functions_list = glb_time_functions,
window_type = "time",
time_unit = "minute",
move_type = "jump",
window_length = 5,
cut_end = FALSE,
return_all = FALSE,
tolerance = 0.05,
shuffle = "No",
pnnX_th,
pnn_perc_th
)
RR |
rr object |
window_type |
string, jumping or sliding |
time_unit |
unit of time (minutes or seconds) |
move_type |
string, time based or index based |
window_length |
numeric, window length |
tolerance |
what is the maximum data loss in a single window in dynamic analysis that should be tolerated |
shuffle |
whether the data should be shuffled |
pnnX_th |
pnnX thresholds vector |
pnn_perc_th |
pnn_perc_th thresholds vector |
data.frame with results for windows as rows
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