The VWPre package provides a set of functions for preparing Visual World data collected with SR Research Eyelink eye trackers.
create_time_series returns a time columns
prep_data returns a data table with
correctly assigned classes for important columns.
relabel_na returns a data table with
samples containing 'NA' relabeled as outside any interest area.
recode_ia returns a data table containing
recoded interest area IDs and/or interest area labels.
select_recorded_eye returns a data table
with data from the the recorded eye in new columns (IA_ID and IA_LABEL).
custom_ia returns a data table
with gaze data remapped to new interest areas.
align_msg returns a data table
with newly aligned sample data in a new column (Align).
rm_extra_DVcols removed DataViewer coumns
that are not necessary for preprocessing with this package.
bin_prop returns a downsampled data table
containing proportion of looks (samples) to each interest area in a
particular window of time (bin size).
transform_to_elogit returns a data table
with proportion looks transformed to empirical logits with weights.
create_binomial returns a data table with
a new success/failure column for each IA which is suitable for logistic
mark_trackloss returns a data table
with data information regarding trackloss of the sample.
rm_trackloss_events returns a data table
from which events without the minimum amount of quality data have been
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 doing basic
check_eye_recording returns a summary
of whether or not the dataset contains gaze data in both the Right and
Left interest area columns.
check_time_series returns the first value
in the Time column for each event.
check_samples_per_bin returns the number
of samples in each bin.
check_samplingrate returns the value
corresponding to the sampling rate in the data.
ds_options returns the binning
(downsampling) options possible for the given sampling rate.
check_ia returns a summary of the
interest area IDs and Labels present in the data.
check_msg_time returns a summary of the
the time value at a given sample message for each recording event.
check_all_msgs returns all messages
in the data and their time stamp.
plot_avg returns a plot of the grand
or conditional averages of proportion (or empirical logit) looks to each
interest area along with error bars.
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.
plot_avg_diff returns a plot of the grand
or conditional averages of the difference between looks to two interest
areas (proportions or empirical logits) with error bars.
plot_avg_cdiff returns a plot of the
average difference between two conditions for looks to a given interest
area (proportions or empirical logits) with error bars.
make_pelogit_fnc returns a function
that can backtransform predicted empirical logit to probability scale,
particularly (though not exclusively) useful for plotting purposes.
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.
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.
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.
The vignettes are available via
browseVignettes(package = "VWPre").
A list of all available functions is provided in
help(package = "VWPre").
This package can be cited using the information obtained from
citation("VWPre") or print(citation("VWPre"), bibtex = TRUE)
Vincent Porretta, Aki-Juhani Kyr<c3><b6>l<c3><a4>inen, Jacolien van Rij, Juhani J<c3><a4>rvikivi
Maintainer: Vincent Porretta ([email protected])
University of Windsor, Canada
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