trend_line_outliers_to_na: Trend line outliers to missing.

In WillemSleegers/eyepatch:

Description

trend_line_outliers_to_na determines outliers based on deviations from a smooth trend line and sets the outliers to missing (NA).

Usage

trend_line_outliers_to_na(
  pupil,
  time = NULL,
  constant = 10,
  method = "low pass",
  sampling_frequency = 60,
  cutoff_frequency = 10,
  padding = 50,
  interpolation = "linear",
  log = FALSE,
  log_file = NULL
)

Arguments

pupil	A numeric vector of pupil size measurements.
time	A vector containing the timestamps associated with the pupil size measurements.
constant	A numeric value specifying the threshold for outlier removal.
log	A logical value. Should the action and results be logged?
log_file	A character string specifying the path to the log file.
span	A numeric value specifying the amount of smoothing.

Examples

library(dplyr)

blink <- mutate(blink,
    pupil_left = trend_line_outliers_to_na(pupil_left, timestamp),
    pupil_right = trend_line_outliers_to_na(pupil_right, timestamp)
  )

WillemSleegers/eyepatch documentation built on Aug. 2, 2021, 8:39 a.m.