Plot proportion of errors in the IAT to see if any items yield high error rates. The data is automatically cleaned (i.e., trials with RT > 10000 or < 180 are deleted) to avoid over/underinflation of mean error estimates
1 | plotItemErr(my_data, item_name, trial_latency, trial_error)
|
my_data |
The raw dataframe to be used |
item_name |
A string of the variable identifying the items |
trial_latency |
A string of the variable name for the latency of each trial. |
trial_error |
A string of the variable name identifying whether a trial was an error or not (1 = error) |
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