R: VWPre: Tools for Preprocessing Visual World Data.
VWPre
R Documentation
VWPre: Tools for Preprocessing Visual World Data.
Description
The VWPre package provides a set of functions for preparing Visual World data
collected with SR Research Eyelink eye trackers.
Formatting functions
The function create_time_series returns a meaningful
time columns in milliseconds.
The function prep_data returns a data table with
correctly assigned classes for important columns.
The function relabel_na returns a data table with
samples containing 'NA' relabeled as outside any interest area.
The function recode_ia returns a data table containing
recoded/remapped interest area IDs and/or interest area labels.
The function select_recorded_eye returns a data table
with data from the the recorded eye in new columns (IA_ID and IA_LABEL).
Calculation functions
The function bin_prop returns a downsampled data table
containing proportion of looks (samples) to each interest area in a
particular window of time (bin size).
The function transform_to_elogit returns a data table
with proportion looks transformed to empirical logits with weights.
The function create_binomial returns a data table with
a new success/failure column for each IA which is suitable for logistic
regression.
Fasttrack formatting function
The function fasttrack a meta-function that returns a
data table of processed data containing the result of the series of
necessary subroutines. This is intended for experienced users.
Utility functions
The function check_eye_recording returns a summary
of whether or not the dataset contains gaze data in both the Right and
Left interest area columns.
The function check_time_series returns the first value
in the Time column for each event.
The function check_samples_per_bin returns the number
of samples in each bin.
The function check_samplingrate returns the value
corresponding to the sampling rate in the data.
The function ds_options returns the binning
(downsampling) options possible for the given sampling rate.
The function check_ia returns a summary of the
interest area IDs and Labels present in the data.
Plotting functions
The function plot_avg returns a plot of the grand
or conditional averages of proportion (or empirical logit) looks to each
interest area along with standard error bars.
The function plot_avg_contour returns a contour plot of
the conditional average of proportion (or empirical logit) looks to a
given interest area over Time and a specified continuous variable.
Diagnostic functions
The function plot_transformation_app opens a Shiny app
for visualizing the effect of both number of observations and constant on
the results of the empirical logit transformation and weight calculations.
The function plot_indiv_app opens a Shiny app for
inspecting by-subject or by-item averages for all interest areas, alongside
the grand average (for proportion or empirical logit looks) within a
specified time window.
The function plot_var_app opens a Shiny app for
inspecting by-subject or by-item Z-scores with respect to the overall mean
for a given interest area within a specified time window.
Notes
The vignettes are available via browseVignettes().
A list of all available functions is provided in
help(package="VWPre").
Author(s)
Vincent Porretta, Aki-Juhani Kyr<c3><83><c2><b6>l<c3><83><c2><a4>inen, Jacolien van Rij, Juhani J<c3><83><c2><a4>rvikivi
providing 
.