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AOI_seq()
Sequence analysis of area of interest entries
AOI_time()
Time analysis of area of interest entries
AOI_time_binned()
Binned time analysis of area of interest entries
HCL
Example dataset from that contains binocular eye data from two participants from a simple contingency learning task (the data are from Beesley, Nguyen, Pearson, & Le Pelley, 2015). In this task there are two stimuli that appear simultaneously on each trial (to the left and right of the screen). Participants look at these cues and then make a decision by selecting an "outcome response" button.
HCL_AOIs
Example AOIs for use with HCL
HCL_behavioural
Example dataset of behavioural data to complement dataset HCL.
combine_eyes()
Combine binocular data into single X/Y coordinate pairs
compare_algorithms()
A battery of metrics and plots to compare the two algorithms (dispersion and VTI)
conditional_transform()
conditional_transform
create_AOI_df()
Create a blank data frame for populating with AOIs
dist_to_visual_angle()
Compute visual angle from distance metrics
fixation_VTI()
Fixation detection using a velocity threshold identification method
fixation_dispersion()
Fixation detection using a dispersion method
hdf5_get_event()
Get messgaes stored in TOBII-generated HDF5 files
hdf5_to_df()
Convert TOBII-generated HDF5 files to dataframe
interpolate()
Interpolation of missing data (NAs)
plot_AOI_growth()
Plots absolute or proportional time spent in AOIs over time
plot_heatmap()
Plot heatmap of raw data
plot_seq()
Plot of raw data over time
plot_spatial()
Plot raw data and fixations
saccade_VTI()
Velocity threshold identification of saccades
smoother()
Smoothing of raw data