summary.ndlCrossvalidate function

A summary of a crossvalidation of a Naive Discriminatory Reader Model

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

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

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

Arguments

• object: An object of class "ndlCrossvalidate", resulting from a call to ndlCrossvalidate.
• x: An object of class "summary.ndlCrossvalidate", usually resulting from a call to summary.ndlCrossvalidate.
• digits: the number of significant digits to use when printing.
• ...: further arguments passed to or from other methods.

Details

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

Returns

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

• call: The call matched to fit the "ndlCrossvalidate" object.
• formula: The formula specified for the "ndlCrossvalidate" object.
• statistics.summary: The means, minima and maxima of a range descriptive statistics for the fit and performance of individual folds; see ndlStatistics.
• crosstable.summary: The means of the crosstabulation of observed and predicted outcomes for the held-out test data.
• recall.predicted.summary: The means of the recall values for the individual outcomes predicted with the held-out test data.
• precision.predicted.summary: The means of the precision values for the individual outcomes predicted with the held-out test data.
• statistics.all: All the values for a range descriptive statistics for the fit and performance of individual folds on the held-out test data; see ndlStatistics.
• k: The number of folds.
• n.total: The sum frequency of all data points in data.
• n.train: The sum frequency of data points used for training the individual models (excluding the individual folds).
• n.test: The sum frequency of data points in the individual held-out folds used for testing the individual models.

References

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

Author(s)

Antti Arppe

See Also

ndlCrossvalidate, ndlClassify, ndlStatistics

Examples

## For examples see examples(ndlCrossvalidate).