filt_plot_temporal: Plot fixation filtered vs. raw gaze coordinates. This...

In kollaR: Event Classification, Visualization and Analysis of Eye Tracking Data

Plot fixation filtered vs. raw gaze coordinates. This function will be replaced by fixation_plot_temporal in future releases. It is currently a wrapper around fixation_plot_temporal accepting the same arguments.

Description

This function plots and returns a ggplot2 figure showing two time series of gaze coordinates plotted against time. The interval to plot can be defined as a proportion of the data frame, by timestamps, or by sample numbers. Use this function to plot data before and after processing or filtering to examine their effects. For example, unprocessed x or y coordinates can be plotted against x and y coordinates following pre-processing and/or event detection with a fixation detection algorithm Either the x or the y vector is plotted

Usage

filt_plot_temporal(
  data_in,
  plot.window = c(NA, NA),
  var1 = "x.raw",
  var2 = "x",
  x.index.var = "sample.index",
  verbose = TRUE
)

Arguments

data_in	gaze matrix which must include columns for filtered and unfiltered data as specified in the var1 and var2 paramters
plot.window	vector defining the time window to plot. If left empty, the 50-65 <0, they are assumed to be proportions, e.g., plot.window = c(0.3,0.35) plots the 30-35 in the data found in the variable 'timestamp'
var1	Name of the first variable to plot. Default "x.raw"
var2	Name of the second variable to plot (overlayed on var1) Default: "x"
x.index.var	Name of the variable to plot on the X axis, for example timestamp or sample index. If the default setting is used, gaze coordinates are plotted against sample number in the selected data interval.
verbose	If TRUE, print the resulting plot

Value

a ggplot with gaze coordinates plotted on the y axis and sample number on the x axis

Examples

new.plot <- filt_plot_temporal(sample.data.classified, plot.window = c(1000, 2000))

kollaR documentation built on June 8, 2025, 10:03 a.m.