The package provides basic plotting functionality via function that uses ggplot2 as a back end. This means that you can extend the plot by adding further layers and geoms. Below is the basic code that shows how to use ggplot2 to generate a custom plot replicating the .
library(eyelinkReader) #> Loading required package: RcppProgress #> Loading required package: rlang library(ggplot2) data(gaze) # extracting fixations and saccades for the first trial fixations <- gaze$fixations[gaze$fixations$trial == 1, ] saccades <- gaze$saccades[gaze$saccades$trial == 1, ] ggplot() + # enforce same scaling, as on the screen coord_equal(expand=FALSE) + # define screen limits and INVERSE y-axis to match Eyelink scale_x_continuous(name = "x", limits = gaze$display_coords[c(1, 3)]) + scale_y_reverse(name = "y", limits = gaze$display_coords[c(4, 2)]) + # draw fixations as circles geom_point(data = fixations, aes_string(x = "gavx", y = "gavy", size = "duration"), alpha=0.3) + # draw saccades as line segments geom_segment(data = saccades, aes_string(x = "gstx", y = "gsty", xend = "genx", yend = "geny", color = "sttime_rel")) + # better legend titles labs(size = "Fixation duration [ms]", color = "Saccade onset [ms]") #> Warning: `aes_string()` was deprecated in ggplot2 3.0.0. #> i Please use tidy evaluation idioms with `aes()`. #> i See also `vignette("ggplot2-in-packages")` for more information. #> This warning is displayed once every 8 hours. #> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was #> generated.