Getting started | Smoothing and cleanup | Window analyses | Modelling with Generalised Additive Models | Estimating divergences with functional data analysis | Acknowledgements | References

Overview of this vignette | Prerequisites | Sanity checks | Performing a simple paired t-test | Using mixed-effects models | Interpreting the estimates | Adding additional predictors | Additional information | A word of caution about window analyses | References

Overview of this vignette | Prerequisites | Testing Time-Bins Independently | Bootstrapped smoothed divergence analysis | Bootstrapped cluster-based permutation analysis | References

Overview of this vignette | Prerequisites | Visualize the timecourse | Growth curve analysis | But when did the conditions diverge? | References

Overview of this vignette | Prerequisites | Adding new columns | Visualize switches from an onset AOI to the target AOI | Analyze onset-contingent switch times | References

Overview of this vignette | Your Data | Data Preparation | Load dataset and dependencies, set data options for eyetrackingR. | Dealing with Non-AOI Looks | Cleaning Up Messy Data: | Adding an Area-of-Interest | Subsetting into the Time-Window of Interest Across Trials | Dealing with trackloss | How much data are we left with? | Assess mean trackloss for each participant | Summarize samples contributed per trial | Assess number of trials contributed by each participant | Summarize number of trials contributed | Create additional columns needed for analysis