ndlStatistics takes an Naive Discriminary Learning model
object as generated by
ndlClassify and calculates a
range of goodness of fit statistics using
A naive discriminative learning model fitted with
Control arguments to be passed along to
A list with the following components:
sum frequency of data points
degrees of freedom of the Null model
degrees of freedom of the fitted model
a list of various measures of goodness of fit calculated with
Antti Arppe and Harald Baayen
Arppe, A. and Baayen, R. H. (in prep.) Statistical modeling and the principles of human learning.
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data(think) set.seed(314) think <- think[sample(1:nrow(think),500),] think.ndl <- ndlClassify(Lexeme ~ Agent + Patient, data=think) ndlStatistics(think.ndl) ## Not run: data(dative) dative.ndl <- ndlClassify(RealizationOfRecipient ~ AnimacyOfRec + DefinOfRec + PronomOfRec + AnimacyOfTheme + DefinOfTheme + PronomOfTheme, data=dative) ndlStatistics(dative.ndl) ## End(Not run)
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