plurals: Artificial data set used to illustrate the Rescorla-Wagner...

Description Usage Format Source References Examples

Description

Data set with 10 English words of different (ad hoc) frequencies, each with a lexical meaning and a grammatical meaning.

Usage

1

Format

A data frame with 10 observations on the following 3 variables:

WordForm

A character vector of word forms (cues).

Frequency

A numeric vector of frequencies.

Outcomes

A character vector of meanings (outcomes). Meanings are separated by underscores. The NIL meaning is ignored.

Source

Baayen, R. H. and Milin, P. and Filipovic Durdevic, D. and Hendrix, P. and Marelli, M., An amorphous model for morphological processing in visual comprehension based on naive discriminative learning. Psychological Review, 118, 438-482.

References

Baayen, R. H. and Milin, P. and Filipovic Durdevic, D. and Hendrix, P. and Marelli, M., An amorphous model for morphological processing in visual comprehension based on naive discriminative learning. Psychological Review, 118, 438-482.

Examples

1
2
3
data(plurals)
plurals$Cues <- orthoCoding(plurals$WordForm, grams=1)
estimateWeights(cuesOutcomes=plurals)

ndl documentation built on May 2, 2019, 10:28 a.m.

Related to plurals in ndl...