A set of tools that address tasks along the pipeline from raw data to analysis and visualization for eye-tracking data. Offers several popular types of analyses, including linear and growth curve time analyses, onset-contingent reaction time analyses, as well as several non-parametric bootstrapping approaches.
|Author||Jacob Dink [aut, cre], Brock Ferguson [aut]|
|Date of publication||2016-03-17 18:59:38|
|Maintainer||Jacob Dink <firstname.lastname@example.org>|
|License||MIT + file LICENSE|
add_aoi: Add an area-of-interest to your dataset, based on x-y...
analyze_boot_splines: Estimate confidence intervals for bootstrapped splines data
analyze_time_clusters: Bootstrap analysis of time-clusters.
clean_by_trackloss: Clean data by removing high-trackloss trials/subjects.
describe_data: Describe dataset
eyetrackingR: eyetrackingR: A package for cleaning, analyzing, and...
filter_: EyetrackingR friendly filter
get_time_clusters: Get information about the clusters in a cluster-analysis
group_by_: EyetrackingR friendly group_by
left_join: EyetrackingR friendly Left-Join
make_boot_splines_data: Bootstrap resample splines for time-series data.
make_eyetrackingr_data: Convert raw data for use in eyetrackingR
make_onset_data: Make onset-contingent data.
make_switch_data: Summarize data into time-to-switch from initial AOI.
make_time_cluster_data: Make data for cluster analysis.
make_time_window_data: Make a dataset collapsing over a time-window
mutate_: EyetrackingR friendly mutate
plot.bin_analysis: Plot test-statistic for each time-bin in a time-series
plot.boot_splines_analysis: Plot differences in bootstrapped-splines data
plot.boot_splines_data: Plot bootstrapped-splines data
plot.cluster_analysis: Visualize the results of a cluster analysis.
plot.eyetrackingR_data_summary: Plot some summarized data from eyetrackingR
plot.onset_data: Plot onset-contingent data
plot.switch_data: Plot mean switch-from-initial-AOI times.
plot.time_cluster_data: Plot test-statistic for each time-bin in a time-series,...
plot.time_sequence_data: Plot time-sequence data
plot.time_window_data: Plot a time-window dataset
print.cluster_analysis: Print Method for Cluster Analysis
simulate_eyetrackingr_data: Simulate an eyetrackingR dataset
subset: EyetrackingR friendly subset
subset_by_window: Extract a subset of the dataset within a time-window in each...
summary.bin_analysis: Summary Method for Time-bin Analysis
summary.boot_splines_analysis: Summary Method for Bootstrapped Splines Analysis
summary.cluster_analysis: Summary Method for Cluster Analysis
summary.time_cluster_data: Summary Method for Cluster Analysis
trackloss_analysis: Analyze trackloss.
ungroup: EyetrackingR friendly ungroup
word_recognition: Data collected in an infant eyetracking study