summary.ndlClassify: A summary of a Naive Discriminatory Learning Model

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

A summarization method for an object of the class "ndlClassify".

Usage

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## S3 method for class 'ndlClassify'
summary(object, ...)

## S3 method for class 'summary.ndlClassify'
print(x, digits = max(3, getOption("digits") - 3), max.print=10, ...)

Arguments

object

An object of class "ndlClassify", resulting from a call to ndlClassify.

x

An object of class "summary.ndlClassify", usually resulting from a call to summary.ndlClassify.

digits

The number of significant digits to use when printing.

max.print

The maximum number of rows of weights to be output when printing; by default equal to 10; ; if set to NA all rows will be output.

...

Control arguments passed to or from other methods, e.g. ndlStatistics and modelStatistics.

Details

Calculates descriptive statistics of a fitted Naive Discriminatory Learning model and prints a nice summary of the key results.

Value

summary.ndlClassify returns an object of the class "summary.ndlClassify", a list with the following components:

call

The call matched to fit the "ndlClassify" object.

formula

The formula specified for the "ndlClassify" object.

weights

The estimated weights.

statistics

A range of descriptive statistics calculated with ndlStatistics.

Author(s)

Antti Arppe

References

Arppe, A. and Baayen, R. H. (in prep.)

See Also

ndlClassify, ndlStatistics, modelStatistics

Examples

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## For examples see examples(ndlClassify).

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