lexample {ndl} | R Documentation |
Lexical example data illustrating the Rescorla-Wagner equations
Description
Ten monomorphemic and inflected English words with fictive frequencies, and meanings.
Usage
data(lexample)
Format
A data frame with 10 observations on the following 3 variables:
Word
A character vector specifying word forms
Frequency
A numeric vector with the – fictive – frequencies of occurrence of the words
Outcomes
A character vector specifying the meaning components of the words, separated by underscores
Details
This example lexicon is used in Baayen et al. (2011) (table 8, figure 4) to illustrate the Rescorla-Wagner equations.
References
Baayen, R. H., Milin, P., Filipovic Durdevic, D., Hendrix, P. and Marelli, M. (2011), An amorphous model for morphological processing in visual comprehension based on naive discriminative learning. Psychological Review, 118, 438-482.
See Also
Examples
## Not run:
data(lexample)
lexample$Cues <- orthoCoding(lexample$Word, grams=1)
par(mfrow=c(2,2))
lexample.rw <- RescorlaWagner(lexample, nruns=25, traceCue="h",traceOutcome="hand")
plot(lexample.rw)
mtext("h - hand", 3, 1)
lexample.rw <- RescorlaWagner(lexample, nruns=25, traceCue="s",traceOutcome="plural")
plot(lexample.rw)
mtext("s - plural", 3, 1)
lexample.rw <- RescorlaWagner(lexample, nruns=25, traceCue="a",traceOutcome="as")
plot(lexample.rw)
mtext("a - as", 3, 1)
lexample.rw <- RescorlaWagner(lexample, nruns=25, traceCue="s",traceOutcome="as")
plot(lexample.rw)
mtext("s - as", 3, 1)
par(mfrow=c(1,1))
## End(Not run)
[Package ndl version 0.2.18 Index]