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#' Interpolate missing pupil samples
#'
#' Linear interpolation of time series data. The intended use of this method
#' is for filling in missing pupil samples (NAs) in the time series. This method
#' uses "na.approx()" function from the zoo package, which implements linear
#' interpolation using the "approx()" function from the stats package.
#' Currently, NAs at the beginning and the end of the data are replaced with
#' values on either end, respectively, using the "rule = 2" argument in the
#' `approx()` function.
#'
#' @param eyeris An object of class `eyeris` dervived from [eyeris::load()].
#' @param verbose A flag to indicate whether to print detailed logging messages.
#' Defaults to `TRUE`. Set to `False` to suppress messages about the current
#' processing step and run silently.
#'
#' @return An `eyeris` object with a new column in `timeseries`:
#' `pupil_raw_{...}_interpolate`.
#'
#' @examples
#' system.file("extdata", "memory.asc", package = "eyeris") |>
#' eyeris::load_asc() |>
#' eyeris::deblink(extend = 50) |>
#' eyeris::detransient() |>
#' eyeris::interpolate() |>
#' plot(seed = 0)
#'
#' @export
interpolate <- function(eyeris, verbose = TRUE) {
eyeris |>
pipeline_handler(interpolate_pupil, "interpolate", verbose)
}
interpolate_pupil <- function(x, prev_op, verbose) {
if (!any(is.na(x[[prev_op]]))) {
if (verbose) {
cli::cli_alert_warning(
"[ INFO ] - No NAs detected in pupil data... Skipping interpolation!"
)
}
return(x[[prev_op]])
} else {
prev_pupil <- x[[prev_op]]
}
zoo::na.approx(
prev_pupil,
na.rm = FALSE,
maxgap = Inf,
rule = 2
)
}
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