plot.time_window_data {eyetrackingR}
Plot a time-window dataset
Description
Plots the data returned from make_time_window_data
. Data can be mapped onto (up to two)
predictor columns. If no predictor columns are supplied, AOI is placed on the x-axis; otherwise,
data for each AOI is set in a separate facet.
Usage
## S3 method for class 'time_window_data' plot(x, predictor_columns = NULL, dv = "Prop", ...)
Arguments
x |
The data returned by make_time_window_data() |
predictor_columns |
Up to two columns indicating predictors. The first maps to the X-axis, the second to group/color. If the latter is numeric, a median split is performed. |
dv |
Which dv should be used in plotting? Raw proportion-looking ("Prop"), empirical logit ("Elog"), or "ArcSin"? |
... |
Ignored |
Details
Data are collapsed by-participants for plotting.
Value
A ggplot object
Examples
data(word_recognition) data <- make_eyetrackingr_data(word_recognition, participant_column = "ParticipantName", trial_column = "Trial", time_column = "TimeFromTrialOnset", trackloss_column = "TrackLoss", aoi_columns = c('Animate','Inanimate'), treat_non_aoi_looks_as_missing = TRUE) response_window_agg_by_sub <- make_time_window_data(data, aois='Animate', predictor_columns=c('Age','MCDI_Total')) plot(response_window_agg_by_sub, predictor_columns="Age", dv = "LogitAdjusted")
[Package eyetrackingR version 0.1.3]