Changelog

Source: NEWS.md

eyetrackingR 0.2.1

  • Added a NEWS.md file to track changes to the package.
  • Fixed issue with breaking change to paired t test

eyetrackingR 0.2.02021-09-27

  • Repairing for resubmission to CRAN
  • Adding compatibility with new versions of dplyr, tidyr and ggplot2
  • Inbuilt support for binomial, glmmPQL and glmmTMB models

eyetrackingR 0.1.8:2018-12-03

  • Fixes a bug in make_onset_data.

eyetrackingR 0.1.7:2018-02-14

eyetrackingR 0.1.6:2016-03-17

  • Allows for treatment-coded variables in lm or lmer time-bin or cluster analysis, via the “treatment_level” argument.

eyetrackingR 0.1.5:2016-03-06

  • Fixes compatibility issue with latest version of lme4 package.

eyetrackingR 0.1.4:2016-01-26

  • A variety of important bug-fixes for onset-contingent analysis. The rest of the package is unchanged.

eyetrackingR 0.1.3:2016-01-09

  • The analyze_time_bins and therefore cluster-analyses have been re-written internally. Full support for (g)lm, (g)lmer, wilcox. Support for interaction terms/predictors. Experimental support for using boot-splines within cluster analysis.
  • P-value adjustment for multiple comparisons is now supported in analyze_time_bins
  • Easier to use AOI as a predictor/covariate in analyze_time_bins and cluster analyses
  • The functions make_boot_splines_data and analyze_boot_splines are now deprecated. To perform this type of analysis, use test="boot_splines" in analyze_time_bins.
  • Warnings and errors are now given in the returned dataframe for analyze_time_bins.
  • Fixed plotting methods for time-cluster data
  • The analyze_time_clusters function now checks that the extra arguments passed to it are the same as the arguments passed
  • Fixed small bug in make_onset_data
  • Added simulate_eyetrackingr_data function to generate fake data for simulations.

eyetrackingR 0.1.1:2015-11-16

  • Important bug-fix in clean_by_trackloss. Previously did not work for certain column names.
  • Important bug-fix in make_eyetrackingr_data. Previously did not work correctly with treat_non_aoi_as_missing = TRUE.
  • Important bug-fix in analyze_time_clusters: previously did not compute permutation-distribution correctly.
  • Can specify any arbitrary dependent-variable for make_time_window_data or make_time_sequence_data to summarize. This DV can then be plotted and used in downstream functions (like analyze_time_bins or make_time_cluster_data)
  • Bug-fix in error/warning reporting in analyze_time_bins and functions that call this (e.g make_time_cluster_data).
  • Compatible with ggplot2 2.0
  • Small bug fix in cluster analyses functions related to the dots (…) arguments
  • Added support for parallelization in analyze_time_clusters, allowing the user to take advantage of multiple cores to speed up this relatively slow function.
  • Added get_time_clusters for getting information about clusters in a data.frame (rather than a printed summary– better for programming).
  • Small bug-fixes in make-boot-splines.
  • Changed how cluster-summaries are displayed