plot_comparison: Plot Comparison of Time Series
In jashu/itrak: Tools for processing eye-tracking data

plot_comparison helps to visualize the transformation of your original time series into a subsequent, cleaner version.

1	plot_comparison(data, time, pre, post, trial = NULL)

`data`	Data frame containing both time series.
`time`	Name of variable that gives time units.
`pre`	Name of variable containing the pre-processed time series.
`post`	Name of variable containing the post-processed time series.
`trial`	If the data contains multiple time series, name of the variable that identifies each time series. Will be plotted using `facet_wrap`.

Use this plotting function to evaluate the performance of the fix_artifacts, normalize, and/or low_pass_filter functions on cleaning your time series. Note that if your original and cleaned time series are at different scales (e.g., if you are comparing a pre-normed version to a post-normed version), the original time series will be projected to the scale of the cleaned time series.

jashu/itrak documentation built on May 9, 2020, 1:57 p.m.