subset-methods: Methods for Function subset in Package 'DMwR'

In DMwR: Functions and data for "Data Mining with R"

Description

The method subset when applied to objects of class compExp can be used to obtain another object of the same class with a subset of the experimental results contained in the orginal object.

Methods

signature(x = "compExp")

The method has as first argument the object of class compExp that you wish to subset. This method also includes four extra arguments that you can use to supply the subsetting criteria.

All subsetting is driven by the dimensions of the array foldResults that is one of the slots of the compExp object (see "class?compExp" for further details).

Namely, the parameter its of this method allows you to supply a vector with the subset of the repetitions of the experimental comparison that are to be "extracted" (this option is seldom used though as it is limited applicability).

The parameter stats allows you to indicate a vector with the subset of evaluation statistics in the orginal object. Additionally, you can instead provide a regular expression to be matched against the name of the statistics measured in the experiment to specify the subset you want to select.

The parameter vars can be used to provide a vector with the subset of learners (models) that are to be used in the subsetting. Additionally, you can instead provide a regular expression to be matched against the name of the learner variants evaluated in the experiment to specify the subset you want to select.

Finally, the parameter dss allows you to indicate a vector with the subset of data sets to be extracted. Additionally, you can instead provide a regular expression to be matched against the name of the datasets used in the experiment to specify the subset you want to select.

DMwR documentation built on May 1, 2019, 9:17 p.m.