Gaze data from the Visual World Paradigm requires significant preprocessing prior to plotting and analyzing the data. This package provides functions for preparing visual world eye-tracking data for statistical analysis and plotting. It can prepare data for linear analyses (e.g., ANOVA, Gaussian-family LMER, Gaussian-family GAMM) as well as logistic analyses (e.g., binomial-family LMER and binomial-family GAMM). Additionally, it contains various plotting functions for creating grand average and conditional average plots. See the vignette for samples of the functionality. Currently, the functions in this package are designed for handling data collected with SR Research Eyelink eye trackers using Sample Reports created in SR Research Data Viewer. While we would like to add functionality for data collected with other systems in the future, the current package is considered to be feature-complete and will shortly enter maintenance mode.
|Author||Vincent Porretta [aut, cre], Aki-Juhani Kyröläinen [aut], Jacolien van Rij [ctb], Juhani Järvikivi [ctb]|
|Date of publication||2016-11-25 19:48:04|
|Maintainer||Vincent Porretta <email@example.com>|
|License||GPL (>= 2)|
align_msg: Aligns samples to a specific message.
bin_prop: Bins the sample data and calculates proportion looks by...
check_eye_recording: Check which eyes were recorded during the experiment
check_ia: Check the interest area IDs and labels
check_msg_time: Check the time value(s) at a specific message
check_samples_per_bin: Check the number of samples in each bin
check_samplingrate: Determine the sampling rate present in the data
check_time_series: Check the new time series
create_binomial: Creates a success/failure column for each IA based on counts.
create_time_series: Create a time series column
custom_ia: Map gaze data to newly defined interest areas
ds_options: Determine downsampling options based on current sampling rate
fasttrack: Fast-track basic preprocessing
plot_avg: Plots average looks to interest areas.
plot_avg_contour: Plots average contour surface of looks to a given interest...
plot_avg_diff: Plots average difference between looks to interest areas.
plot_indiv_app: Plots diagnostic average plots of subjects/items.
plot_transformation_app: Plots diagnostic plots of the empirical logit transformation.
plot_var_app: Plots diagnostic plots of subject/item variance.
prep_data: Check the classes of specific columns and re-assigns as...
recode_ia: Recode interest area IDs and/or interest area labels
relabel_na: Relabel samples containing 'NA' as outside any interest area
rename_columns: Rename default column names for interest areas.
select_recorded_eye: Select the eye used during recording
transform_to_elogit: Transforms proportion looks to empirical logits.
VWdat: This is a sample eye-tracking dataset included in the package
VWPre: VWPre: Tools for Preprocessing Visual World Data.