class "logical", defines if the item dataset consists of binary (i.e. 0/1) or non-binary ratings. Deafault value FALSE.
minimum
class "numeric", defines the minimal value present in the dataset. Deafault value 1.
maximum
class "numeric", defines the maximal value present in the dataset. Deafault value 5.
halfStar
object of class "logical", if TRUE the range of ratings in the dataset contains as well half star values. Deafault value FALSE.
goodRating
class "numeric", in case binary is TRUE, goodRating defines the threshold value for binarizing the dataset (i.e. any rating value >= goodRating will be transformed to 1 and all other values to 0(corresponding to a not rated item). Deafault value 0.5.