patterncausality (version 0.1.3)

dataBank: Data Bank Initialization Function

Description

Initializes various data structures for storing and managing data within a complex systems analysis framework.

Usage

dataBank(type, dimensions)

Value

db Returns the initialized data structure, filled with NA values. Depending on the 'type', the structure can be an array, vector, matrix, or a specialized data frame designed for neighborhood memories which incorporates extensive details about interactions within defined neighborhoods.

Arguments

type

A character string specifying the type of data structure to initialize: "array", "vector", "matrix", or "neighborhood memories". Each structure serves different requirements for data storage and processing in the model.

dimensions

An integer vector specifying the dimensions of the data structure. The interpretation of dimensions varies based on the type:

• For "array", it defines the dimensions of the array.

• For "vector", only the first element (length) is used.

• For "matrix", the first two elements specify the number of rows and columns.

• For "neighborhood memories", the first two elements define the number of rows and columns, the third element specifies the number of nearest neighbors, and the fourth element details the number of signature components per neighbor.

Examples

# Initialize a matrix with 3 rows and 5 columns.
matrix_db <- dataBank("matrix", c(3, 5))
print(matrix_db)

# Initialize a neighborhood memory structure correctly with sufficient column names.
dimensions_nm <- c(4, 40, 3, 5)
nm_db <- dataBank("neighborhood memories", dimensions_nm)
print(nm_db)