Description

Defines a structure for a dataset that distinguishes between binary and non-binary feedback datasets.

Slots

binary:

class "logical", determines if the item dataset contains binary (i.e. 1/0) or non-binary ratings.

minimum:

class "numeric", defines the minimal value present in the dataset.

maximum:

class "numeric", defines the maximal value present in the dataset.

intScale:

object of class "logical", if TRUE the range of ratings in the dataset contains as well half star values.

Methods

show

signature(object = "_ds")

sparsity

signature(object = "_ds"): returns the sparsity of the dataset.

summary

signature(object = "_ds"): summary of the characteristics of the dataset.