ndlStatistics: Calculate goodness of fit statistics for a naive...

In ndl: Naive Discriminative Learning

Description

ndlStatistics takes an Naive Discriminary Learning model object as generated by ndlClassify and calculates a range of goodness of fit statistics using modelStatistics.

Usage

ndlStatistics(ndl, ...)

Arguments

ndl	A naive discriminative learning model fitted with ndlClassify.
...	Control arguments to be passed along to modelStatistics.

Value

A list with the following components:

n.data

sum frequency of data points

df.null

degrees of freedom of the Null model

df.model

degrees of freedom of the fitted model

statistics

a list of various measures of goodness of fit calculated with modelStatistics

Author(s)

Antti Arppe and Harald Baayen

References

Arppe, A. and Baayen, R. H. (in prep.) Statistical modeling and the principles of human learning.

See Also

See also ndlClassify, modelStatistics.

Examples

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)

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