interpolate_data: Interpolate across the gaps in data

In PupillometryR: A Unified Pipeline for Pupillometry Data

Interpolate across the gaps in data

Description

Once data is smoothed, it is important to deal with missing observations, such as blinks. This allows simple interpolation over missing values, either linear, or cubic. Depending on the analysis planed, this may not be a necessary option, but it is strongly recommended for the functional analyses planned in this package.

Usage

interpolate_data(data, pupil, type = c("linear", "cubic"))

Arguments

data	a PupillometryR dataframe
pupil	Column name for pupil data to be interpolated
type	string indicating linear or cubic interpolation to be performed.

Value

interpolated pupillometry data

Examples

Sdata <- make_pupillometryr_data(data = pupil_data,
subject = ID,
trial = Trial,
time = Time,
condition = Type)
mean_data <- calculate_mean_pupil_size(data = Sdata,
pupil1 = RPupil, pupil2 = LPupil)
filtered_data <- filter_data(data = mean_data,
pupil = mean_pupil,
filter = 'hanning',
degree = 11)
int_data <- interpolate_data(data = filtered_data,
pupil = mean_pupil,
type = 'linear')

PupillometryR documentation built on Sept. 15, 2023, 5:13 p.m.