This package is designed to make dealing with eye-tracking data easier. It addresses tasks along the pipeline from raw data to analysis and visualization.
To get it to work, you must recode Sex (factor) to a numeric variable, and then pass by shuffle_by=Sex to analyze_time_clusters. This is because of a mismatch between the auto-factored variable in lmer() (which is named SexM automatically) — it doesn't match a column name.
Currently, the example here doesn't work:
http://www.eyetracking-r.com/docs/analyze_time_clusters
To get it to work, you must recode
Sex(factor) to a numeric variable, and then pass byshuffle_by=Sextoanalyze_time_clusters. This is because of a mismatch between the auto-factored variable inlmer()(which is namedSexMautomatically) — it doesn't match a column name.