Downsample frequency to reduce number of samples and data size — downsample_time

This function is useful if you were sampling at a very high frequency (eg 500Hz) causing the data size to be hard to manage, and high autocorrelation. Careful decisions should be made about the time bin size and appropriateness of this function, with respect to the data type.

Usage

downsample_time_data(data, pupil, timebin_size, option = c("mean", "median"))

Arguments

data: your data of class PupillometryR
pupil: a column name denoting pupil size
timebin_size: the size of the new timebin you wish to use
option: what should be calculated in each timebin - mean or median. Defaults to mean.

Value

A downsampled dataframe of class PupillometryR

Examples

data(pupil_data)
Sdata <- make_pupillometryr_data(data = pupil_data,
subject = ID,
trial = Trial,
time = Time,
condition = Type)
new_data <- downsample_time_data(data = Sdata,
pupil = LPupil,
timebin_size = 50,
option = 'mean')
#> Calculating mean pupil size in each timebin