attribute_sim_ind: Simulate the Attributes with the Assumption of Independent...

In npdsim: Simulate Demand and Attributes for New Products

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
)

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

Value

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

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)

npdsim documentation built on April 12, 2025, 1:37 a.m.