BinWiseTimeSlice: Extract a subset of trial data, congruent to bin size

In tjmahr/lookr: Tools to Analyze Looking While Listening or Visual World Eyetracking Experiments

Description

We only really care about part of each trial, so we should extract that time interval from each trial and not worry about the rest of the trial. Our log-odds function however analyzes AOI data 3 bins at a time (or in 49.9638 ms chunks), so we should make sure that our interval can be broken into bins (i.e., broken into 49.9638 ms chunks).

Usage

BinWiseTimeSlice(trials, start_time, end_time, bin_size = 3)

Arguments

trials	a list of trials
start_time	the starting time (ms) of the interval
end_time	the end time (ms) of the interval
bin_size	the number of time frames per bin (default is 3)

Details

This function extends the time interval for extraction to the nearest bin. The result is that the number of time frames in the extracted interval is evenly divisible by the bin size.

Value

a list of trial objects with the desired interval extracted and extended so that the number of time frames is evenly divisisble by the bin size

tjmahr/lookr documentation built on May 31, 2019, 3:41 p.m.