Man pages for kollaR
Filtering, Visualization and Analysis of Eye Tracking Data
| animated_fixation_plot | Create GIF animation of fixations on a stimulus images |
| aoi_test | Test whether a gaze coordinates are within or outside a... |
| cluster2m | Fixation detection by two-means clustering |
| downsample_gaze | Downsample gaze |
| draw_aois | Draw one or more areas of interest, AOIs, on a stimulus image... |
| filt_plot_2d | Plot fixation filtered vs. raw or unfiltered gaze coordinates... |
| filt_plot_temporal | Plot fixation filtered vs. raw gaze coordinates |
| find.transition.weights | Find transition weights for each sample in a gaze matrix. |
| idt_filter | Dispersion-based fixation detection algorithm '(I-DT)' |
| interpolate_with_margin | Interpolate over gaps (subsequent NAs) in vector. |
| ivt_filter | I-VT algorithm for fixation and saccade detection |
| kollaR-package | Filtering, Visualization, and Analysis of Eye Tracking Data |
| merge_adjacent_fixations | Merge adjacent fixations |
| plot_filter_results | Plot validity measures from one or more fixation detection... |
| plot_sample_velocity | Plot the sample-to-sample velocity of eye tracking data. |
| plot_velocity_profiles | Create ggplot of saccade velocity profiles |
| process_gaze | Interpolation and smoothing of gaze-vector |
| sample.data.filtered | Fixation-filtered sample-by-sample example data |
| sample.data.fixation1 | Fixations from 1 individual |
| sample.data.fixations | Fixations from 7 individuals |
| sample.data.processed | Pre-processed sample-by-sample example data |
| sample.data.saccades | Saccades from 3 individuals |
| sample.data.unprocessed | Unprocessed sample-by-sample example data |
| static_plot | Plot fixations in 2D space overlaied on a stimulus image |
