ndl (version 0.2.18)

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

Description

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

Usage

# S3 method for ndlClassify
summary(object, …)
# S3 method for 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.

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.

Details

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

References

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

See Also

ndlClassify, ndlStatistics, modelStatistics

Examples

# NOT RUN {
## For examples see examples(ndlClassify).

# }