defineData {rrecsys}

Define dataset.

Description

Defines your dataset, if either it is implicit or explicit.

Arguments

data

the dataset, class "matrix".

sparseMatrix

class "logical". If FALSE implies that the imput is a dense two dimensional matrix. If TRUE implies that the imput is arranges as coordinate list where entries are stored as list of (row, column, value) tuples.

binary

class "logical", defines if the item dataset consists of binary (i.e. NA/1) or non-binary ratings. Default value FALSE.

minimum

class "numeric", defines the minimal value present in the dataset. Default value 0.5.

maximum

class "numeric", defines the maximal value present in the dataset. Default value 5.

intScale

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

positiveThreshold

class "numeric", in case binary is TRUE, positiveThreshold defines the threshold value for binarizing the dataset (i.e. any rating value >= positiveThreshold will be transformed to 1 and all other values to NA(corresponding to a not rated item). Default value 0.5.

Value

Returns an object of class "dataSet".

See Also

See Also as dataSet-class.

Examples

data(mlLatest100k)

a <- defineData(mlLatest100k)

b <- defineData(mlLatest100k,binary = TRUE ,positiveThreshold = 3)