Error in re-building vignettes:
  ...
Loading required package: dplyr

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

This is VWPre version 1.0.1. 
For an overview of the package, type 'help(package="VWPre")'.
IMPORTANT CHANGES - See NEWS.
Checking required columns...
    All required columns are present in the data.
Checking optional columns...
    The following optional is not present in the data:  EYE_TRACKED 

Working on required columns...
    RECORDING_SESSION_LABEL renamed to Subject. 
    Subject converted to factor.
    itemid renamed to Item.
    Item converted to factor.
    LEFT_INTEREST_AREA_ID converted to numeric.
    RIGHT_INTEREST_AREA_ID already numeric.
    LEFT_INTEREST_AREA_LABEL converted to factor.
    RIGHT_INTEREST_AREA_LABEL converted to factor.
    TIMESTAMP already numeric.
    TRIAL_INDEX already numeric.
    Event variable created from Subject and TRIAL_INDEX
Working on optional columns...
    Optional column SAMPLE_MESSAGE already factor.
    Optional column LEFT_GAZE_X converted to numeric.
    Optional column LEFT_GAZE_Y converted to numeric.
    Optional column RIGHT_GAZE_X already numeric.
    Optional column RIGHT_GAZE_Y already numeric.
LEFT_INTEREST_AREA_LABEL: Number of levels DO NOT match NoIA.
RIGHT_INTEREST_AREA_LABEL: Number of levels match NoIA.
Right interest area IDs recoded.
Left interest area IDs recoded.
Right interest area labels recoded.
Left interest area labels recoded.
Checking required columns...
    All required columns are present in the data.
Checking optional columns...
    The following optional is not present in the data:  EYE_TRACKED 

Working on required columns...
    RECORDING_SESSION_LABEL renamed to Subject. 
    Subject converted to factor.
    itemid renamed to Item.
    Item converted to factor.
    LEFT_INTEREST_AREA_ID converted to numeric.
    RIGHT_INTEREST_AREA_ID already numeric.
    LEFT_INTEREST_AREA_LABEL converted to factor.
    RIGHT_INTEREST_AREA_LABEL converted to factor.
    TIMESTAMP already numeric.
    TRIAL_INDEX already numeric.
    Event variable created from Subject and TRIAL_INDEX
Working on optional columns...
    Optional column SAMPLE_MESSAGE already factor.
    Optional column LEFT_GAZE_X converted to numeric.
    Optional column LEFT_GAZE_Y converted to numeric.
    Optional column RIGHT_GAZE_X already numeric.
    Optional column RIGHT_GAZE_Y already numeric.
LEFT_INTEREST_AREA_LABEL: Number of levels DO NOT match NoIA.
RIGHT_INTEREST_AREA_LABEL: Number of levels match NoIA.
Preparing data...
Checking required columns...
    All required columns are present in the data.
Checking optional columns...
    The following optional is not present in the data:  EYE_TRACKED 

Working on required columns...
    RECORDING_SESSION_LABEL renamed to Subject. 
    Subject converted to factor.
    itemid renamed to Item.
    Item converted to factor.
    LEFT_INTEREST_AREA_ID converted to numeric.
    RIGHT_INTEREST_AREA_ID already numeric.
    LEFT_INTEREST_AREA_LABEL converted to factor.
    RIGHT_INTEREST_AREA_LABEL converted to factor.
    TIMESTAMP already numeric.
    TRIAL_INDEX already numeric.
    Event variable created from Subject and TRIAL_INDEX
Working on optional columns...
    Optional column SAMPLE_MESSAGE already factor.
    Optional column LEFT_GAZE_X converted to numeric.
    Optional column LEFT_GAZE_Y converted to numeric.
    Optional column RIGHT_GAZE_X already numeric.
    Optional column RIGHT_GAZE_Y already numeric.
Relabelling outside of 4 interest areas...
LEFT_INTEREST_AREA_LABEL: Number of levels DO NOT match NoIA.
RIGHT_INTEREST_AREA_LABEL: Number of levels match NoIA.
Interest Area IDs for the right eye are coded appropriately.
 ID      Label
  0    Outside
  1     Target
  2  RhymeComp
  3  OnsetComp
  4 Distractor
Interest Area IDs for the left eye are coded appropriately.
 ID   Label
  0 Outside
Creating time series with 100 ms adjustment...
100 ms adjustment applied.
[1] -100
The dataset contains recordings for ONLY the right eye. 
 Set the Recording parameter in select_recorded_eye() to 'R'.
Selecting recorded eye...
Gaze data summary for 320 events:
0 event(s) contained gaze data for both eyes, for which the Right eye has been selected.
The final data frame contains 319 event(s) using gaze data from the right eye.
The final data frame contains 0 event(s) using gaze data from the left eye.
The final data frame contains 1 event(s) with no samples falling within any interest area during the given time series.
Sampling rate(s) present in the data are: 1000 Hz.

Binning 1000 Hz data into 50 ms bins...
Calculating proportions...
Binning information: 
 Original rate of 1000 Hz with one sample every 1 ms. 
 Downsampled rate of 20 Hz using 50 ms bins. 
 New bins contain 50 samples.
Binning...
Calculating proportions...
There are 320 data points with less than 50 samples per bin.
These can be examined and/or removed using the column 'NSamples'.
These occur at time bin(s): 1150
Subsequent Empirical Logit calculations may be influenced by the number of samples (depending on the number of observations requested).
Sampling rate(s) present in the data are: 20 Hz.

There are 50 samples per bin.
One data point every 50 millisecond(s)
Preparing ELogit output...
Number of Observations equal to Number of Samples. 
 Calculation will be based on Number of Samples.
Grand average of Proportion Looks calculated using Event means.
Grand average of Proportion Looks calculated using Event means.
Grand average of Proportion Looks calculated using Event means.
Grand average of Proportion Looks calculated using Event means.
Grand average of Proportion Looks calculated using Event means.
Grand average of Proportion Looks calculated using Event means.
Grand average of Proportion Looks calculated using Event means.
Grand average of Proportion Looks calculated using Event means.
Grand average of Proportion Looks calculated using Event means.
Grand average of Proportion Looks calculated using Subject means.
Grand average of Difference calculated using Event means.
Quitting from lines 204-218 (SR_Plotting.Rmd) 
Error: processing vignette ‘SR_Plotting.Rmd’ failed with diagnostics:
`UQ()` can only be used within a quasiquoted argument
Execution halted