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.
Can anyone point me to where in the documentation it specifies how the ribbons are defined on a plot made with a make_time_sequence_data() object? An example of such a plot is given at http://www.eyetracking-r.com/vignettes/growth_curve_analysis under "Visualize the timecourse."
I've already manually recreated the entire plot shown at the link above (using aggregate() to calculate the equivalent data made by make_time_sequence_data()), except the ribbons. I'm currently trying to manually calculate and add the standard errors thinking this is what the ribbons may be, but it's proving time-consuming. It would be helpful just to know what the ribbons represent, and for the documentation to state this clearly.
Can anyone point me to where in the documentation it specifies how the ribbons are defined on a plot made with a
make_time_sequence_data()
object? An example of such a plot is given at http://www.eyetracking-r.com/vignettes/growth_curve_analysis under "Visualize the timecourse."I've already manually recreated the entire plot shown at the link above (using
aggregate()
to calculate the equivalent data made bymake_time_sequence_data()
), except the ribbons. I'm currently trying to manually calculate and add the standard errors thinking this is what the ribbons may be, but it's proving time-consuming. It would be helpful just to know what the ribbons represent, and for the documentation to state this clearly.