make_onset_data {eyetrackingR}

Make onset-contingent data.

Description

Divide trials into which AOI participants started on. Calculate switches away from this AOI, using a rolling window to determine what length consitutes a switch. Augment original data with a column indicating whether each row is a switch-away sample.

Usage

make_onset_data(data, onset_time, fixation_window_length, target_aoi,
  distractor_aoi = NULL)

Arguments

`data`	The original (verified) data
`onset_time`	When to check for participants' "starting" AOI?
`fixation_window_length`	Which AOI is currently being fixated is determined by taking a rolling average. This is the width of window for rolling average.
`target_aoi`	Which AOI is the target that should be switched to
`distractor_aoi`	Which AOI is the distractor that should be switched from (default = !target_aoi)

Value

Original dataframe augmented with column indicating switch away from target AOI

Examples

data(word_recognition)
data <- make_eyetrackingr_data(word_recognition, 
                               participant_column = "ParticipantName",
                               trial_column = "Trial",
                               time_column = "TimeFromTrialOnset",
                               trackloss_column = "TrackLoss",
                               aoi_columns = c('Animate','Inanimate'),
                               treat_non_aoi_looks_as_missing = TRUE
)
response_window <- subset_by_window(data, window_start_time = 15500, window_end_time = 21000, 
                                    rezero = FALSE)
inanimate_trials <- subset(response_window, grepl('(Spoon|Bottle)', Trial))
onsets <- make_onset_data(inanimate_trials, onset_time = 15500, 
                          fixation_window_length = 100, target_aoi='Inanimate')

[Package eyetrackingR version 0.1.3]