Package: webgazeR 0.10.6

webgazeR: Tools for Processing Webcam Eye Tracking Data

A companion package to gazeR. Functions for reading and pre-processing webcam eye tracking data.

Authors:Jason Geller

webgazeR_0.10.6.tar.gz
webgazeR_0.10.6.zip(r-4.7-any)webgazeR_0.10.6.zip(r-4.6-any)webgazeR_0.10.6.zip(r-4.5-any)
webgazeR_0.10.6.tgz(r-4.6-any)webgazeR_0.10.6.tgz(r-4.5-any)
webgazeR_0.10.6.tar.gz(r-4.7-any)webgazeR_0.10.6.tar.gz(r-4.6-any)
webgazeR_0.10.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
webgazeR/json (API)

# Install 'webgazeR' in R:

install.packages('webgazeR', repos = c('https://jgeller112.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jgeller112/webgazer/issues

Datasets:

behav_data - Example behavioural data from a Gorilla experiment
eyedata - Example webcam eye-tracking data
jspsych_eyedata - Example jsPsych webcam eye-tracking data
jspsych_eyedata2 - Example jsPsych webcam eye-tracking data
labvanced_eyedata - Example Labvanced webcam eye-tracking data
labvanced_eyedata_sentence - Example Labvanced webcam eye-tracking data, scoped to one task
psychopy_eyedata - Example PsychoPy webcam eye-tracking data
vwp_counts - Visual-world-paradigm fixation counts

On CRAN:

3.43 score 4 stars 15 scripts 16 exports 50 dependencies

Last updated from:1146dce0bb. Checks:7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	WARNING	157
source / vignettes	OK	233
linux-release	WARNING	159
macos-release	WARNING	209
macos-oldrel	WARNING	188
windows-devel	WARNING	96
windows-release	WARNING	110
windows-oldrel	WARNING	102
wasm-release	OK	134

Exports:analyze_sampling_rate assign_aoi calculate_isc downsample_gaze extract_aois filter_sampling_rate find_location gaze_dispersion gaze_oob interpolate_gaze make_webgazer merge_webcam_files plot_IA_proportions smooth_gaze time_window_isc upsample_gaze

Dependencies:bit bit64 cellranger cli clipr cpp11 crayon dplyr farver generics ggokabeito ggplot2 glue gtable hms isoband janitor jsonlite labeling lattice lifecycle lubridate magrittr pillar pkgconfig prettyunits progress purrr R6 RColorBrewer readr readxl rematch rlang S7 scales snakecase stringi stringr tibble tidyr tidyselect timechange tzdb utf8 vctrs viridisLite vroom withr zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Analyze Sampling Rates (Trial and Subject Levels, with Histogram)	analyze_sampling_rate
Assign coordinates to areas of interest	assign_aoi
Example behavioural data from a Gorilla experiment	behav_data
Compute Intersubject Correlation (ISC)	calculate_isc
Downsample gaze data	downsample_gaze
Extract AOI-related Columns from Webcam Files and Calculate Locations	extract_aois
Example webcam eye-tracking data	eyedata
Filter or Label Data Based on Sampling Rate Threshold	filter_sampling_rate
Find Image Location in a Given Set of Locations	find_location
Compute Gaze Dispersion	gaze_dispersion
Calculate Out-of-Bounds Proportion by Subject and Trial	gaze_oob
Interpolate missing gaze data (X and Y) within trials, with optional max gap	interpolate_gaze
Example jsPsych webcam eye-tracking data (free-sort experiment)	jspsych_eyedata
Example jsPsych webcam eye-tracking data (webgazer extension 'targets')	jspsych_eyedata2
Example Labvanced webcam eye-tracking data	labvanced_eyedata
Example Labvanced webcam eye-tracking data, scoped to one task	labvanced_eyedata_sentence
Standardize a Dataframe to WebGazer Conventions	make_webgazer
Merge and Process Webcam Eye-Tracking Files	merge_webcam_files
Plot Proportion of Looks Over Time for Interest Areas (IAs)	plot_IA_proportions
Example PsychoPy webcam eye-tracking data	psychopy_eyedata
Apply a moving average smoothing function to gaze data (X and Y). This is generally recommended after up-sampling the data.	smooth_gaze
Time-windowed Intersubject Correlation (ISC) per subject	time_window_isc
Up-sample gaze and pupil data	upsample_gaze
Visual-world-paradigm fixation counts	vwp_counts