sparseDataSet-class | R Documentation |
Container for a sparse dataset that distinguishes between binary and non-binary feedback datasets. Data are stored as tuples (user, item, rating). Extends _ds
.
data
:the dataset, class "matrix"
.
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.
userID
:class "numeric"
, array containing all user IDs.
itemID
:class "numeric"
, array containing all item IDs.
userPointers
:class "list"
, pointer to all users position in the dataset.
itemPointers
:class "list"
, pointer to all items position in the dataset.
signature(object = "sparseDataSet"): number of rows of the dataset.
signature(object = "sparseDataSet"): number of columns of the dataset.
signature(object = "sparseDataSet"): returns the dimensions of the dataset.
signature(object = "sparseDataSet"): returns the number of ratings on each row.
signature(object = "sparseDataSet"): returns the number of ratings on each column.
signature(object = "sparseDataSet"): returns the total number of ratings.
signature(x = "sparseDataSet", i = "ANY", j = "ANY", drop = "ANY")): returns a subset of the dataset.
signature(from = "sparseDataSet", to = "matrix")
signature(object = "sparseDataSet"): returns the average rating on each row.
signature(object = "sparseDataSet"): returns the average rating on each column.
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