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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