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VWPre  

Tools for Preprocessing Visual World Data
View on CRAN: Click here


Download and install VWPre package within the R console
Install from CRAN:
install.packages("VWPre")

Install from Github:
library("remotes")
install_github("cran/VWPre")

Install by package version:
library("remotes")
install_version("VWPre", "1.2.4")



Attach the package and use:
library("VWPre")
Maintained by
Vincent Porretta
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-05-09
Latest Update: 2020-11-29
Description:
Gaze data from the Visual World Paradigm requires significant preprocessing prior to plotting and analyzing the data. This package provides functions for preparing visual world eye-tracking data for statistical analysis and plotting. It can prepare data for linear analyses (e.g., ANOVA, Gaussian-family LMER, Gaussian-family GAMM) as well as logistic analyses (e.g., binomial-family LMER and binomial-family GAMM). Additionally, it contains various plotting functions for creating grand average and conditional average plots. See the vignette for samples of the functionality. Currently, the functions in this package are designed for handling data collected with SR Research Eyelink eye trackers using Sample Reports created in SR Research Data Viewer.While we would like to add functionality for data collected with other systems in the future, the current package is considered to be feature-complete; further updates will mainly entail maintenance and the addition of minor functionality.
How to cite:
Vincent Porretta (2016). VWPre: Tools for Preprocessing Visual World Data. R package version 1.2.4, https://cran.r-project.org/web/packages/VWPre. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.5.0 (2016-05-09 06:25), 0.7.0 (2016-06-19 09:47), 0.9.0 (2016-09-28 23:09), 0.9.5 (2016-11-25 19:48), 0.9.6 (2017-06-15 15:43), 1.0.0 (2017-10-24 15:47), 1.0.1 (2017-12-05 05:13), 1.1.0 (2018-03-20 08:14), 1.2.0 (2019-07-09 18:50), 1.2.1 (2019-11-05 07:00), 1.2.2 (2019-12-18 20:30), 1.2.3 (2020-03-10 07:50)
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