This function creates an example condition with three trials and two
word-object pairs per trial. Each word-object pair appears twice, and so if
the most frequently co-occurring referent for each word is selected then all
three words would be learned.
Usage
get_example_unambiguous_condition()
Value
An object of class xslData containing a list of training trials
(with nested words and objects per trial) and accuracy (P(correct referent
| word)).
Examples
get_example_unambiguous_condition()
#> xslData object with label "example condition" and condition "unambiguous"
#> training trials: 3
#> test trials: 0
#> words: 3
#> objects: 3
#> accuracies: 3