npdsim (version 1.0.0)

attribute_sim_ind: Simulate the Attributes with the Assumption of Independent Attributes

Description

Simulate the attributes for each product with the assumption that the attributes of shapes are independent of the attributes of levels. We mean by independence the fact that each attribute is related to one of the following: shape, level or nothing.

Usage

attribute_sim_ind(
  product_shapes_and_levels,
  attributes_number,
  shape_attributes_number,
  level_attributes_number
)

Value

A numeric dateframe of the following columns: product_id, assigned_shape, assigned_level and attributes (as columns)

Arguments

product_shapes_and_levels

A numeric dateframe of three columns: product_id, assigned_shape and assigned_level

attributes_number

The number of attributes

shape_attributes_number

The number of attributes assigned to shape

level_attributes_number

The number of attributes assigned to level

Examples

attribute_sim_ind(product_shapes_and_levels=
data.frame(product_id=1:4,assigned_shape=c(1,1,2,2),
assigned_level=c(5,3,3,3)),
attributes_number=15,
shape_attributes_number=7,
level_attributes_number=4)