Description Usage Arguments Value Author(s) References See Also Examples
ndlStatistics
takes an Naive Discriminary Learning model
object as generated by ndlClassify
and calculates a
range of goodness of fit statistics using
modelStatistics
.
1 |
ndl |
A naive discriminative learning model fitted with |
... |
Control arguments to be passed along to |
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
Antti Arppe and Harald Baayen
Arppe, A. and Baayen, R. H. (in prep.) Statistical modeling and the principles of human learning.
See also ndlClassify
, modelStatistics
.
1 2 3 4 5 6 7 8 9 10 11 12 13 | 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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