interpolate_data {PupillometryR}

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')