interpolate_pupil

This function fills missing values (NAs) in pupil data using linear
interpolation. It uses the <code><a href="/link/zoo%3A%3Ana.approx()?package=eyeris&version=2.0.0" data-mini-rdoc="eyeris::zoo::na.approx()">zoo::na.approx()</a></code> function with settings
optimized for pupillometry data.

internal

Pupillometry offers a non-invasive window into the mind and has been used extensively as a psychophysiological readout of arousal signals linked with cognitive processes like attention, stress, and emotional states [Clewett et al. (2020) <doi:10.1038/s41467-020-17851-9>; Kret & Sjak-Shie (2018) <doi:10.3758/s13428-018-1075-y>; Strauch (2024) <doi:10.1016/j.tins.2024.06.002>]. Yet, despite decades of pupillometry research, many established packages and workflows to date lack design patterns based on Findability, Accessibility, Interoperability, and Reusability (FAIR) principles [see Wilkinson et al. (2016) <doi:10.1038/sdata.2016.18>]. 'eyeris' provides a modular, performant, and extensible preprocessing framework for pupillometry data with BIDS-like organization and interactive output reports [Esteban et al. (2019) <doi:10.1038/s41592-018-0235-4>; Gorgolewski et al. (2016) <doi:10.1038/sdata.2016.44>]. Development was supported, in part, by the Stanford Wu Tsai Human Performance Alliance, Stanford Ric Weiland Graduate Fellowship, Stanford Center for Mind, Brain, Computation and Technology, NIH National Institute on Aging Grants (R01-AG065255, R01-AG079345), NSF GRFP (DGE-2146755), McKnight Brain Research Foundation Clinical Translational Research Scholarship in Cognitive Aging and Age-Related Memory Loss, American Brain Foundation, and the American Academy of Neurology.

Shawn Schwartz

eyeris

Flexible, Extensible, & Reproducible Pupillometry Preprocessing

interpolate_pupil function

<dl><dt>x</dt>
<dd>A data frame containing the pupil time series data</dd>
<dt>prev_op</dt>
<dd>The name of the previous operation's output column</dd>
<dt>verbose</dt>
<dd>A flag to indicate whether to print detailed logging messages</dd></dl>

Arguments

This function fills missing values (NAs) in pupil data using linear
interpolation. It uses the <code><a href='https://rdrr.io/pkg/zoo/man/na.approx.html'>zoo::na.approx()</a></code> function with settings
optimized for pupillometry data.

Interpolate missing pupil data using linear interpolation — interpolate_pupil

<dl>

<dt>x</dt>
<dd>A data frame containing the pupil time series data</dd>


<dt>prev_op</dt>
<dd>The name of the previous operation's output column</dd>


<dt>verbose</dt>
<dd>A flag to indicate whether to print detailed logging messages</dd>

</dl>

interpolate_pupil: Interpolate missing pupil data using linear interpolation

Description

Usage

Value

Arguments

Details