Pattern Causality Matrix Object

Creates a pattern causality matrix object. This function constructs an object of class pc_matrix containing the positive, negative, and dark causality matrices, along with item names.

Usage

pc_matrix(
  positive = NULL,
  negative = NULL,
  dark = NULL,
  items = NULL,
  verbose = TRUE
)

Arguments

positive

Positive causality matrix.

negative

Negative causality matrix.

dark

Dark causality matrix.

items

Names of items in the matrices.

verbose

Logical, whether to print progress information.

Value

An object of class "pc_matrix".

Examples

data(climate_indices)
dataset <- climate_indices[, -1]
pc_matrix_obj <- pcMatrix(dataset, E = 3, tau = 1, 
  metric = "euclidean", h = 1, weighted = TRUE, 
  verbose = FALSE)
print(pc_matrix_obj)
#> Pattern Causality Matrix Analysis:
#> 
#> Number of items: 4 
#> 
#> Positive causality matrix:
#>            AO       AAO       NAO       PNA
#> AO         NA 0.5124763 0.3919950 0.4121643
#> AAO 0.3914184        NA 0.4065322 0.3189478
#> NAO 0.3749311 0.3768050        NA 0.3768436
#> PNA 0.3726418 0.5170100 0.5193883        NA
#> 
#> Negative causality matrix:
#>             AO        AAO        NAO        PNA
#> AO          NA 0.10386653 0.09688494 0.07944696
#> AAO 0.10854097         NA 0.12294652 0.20901070
#> NAO 0.17671545 0.13116699         NA 0.08856063
#> PNA 0.07219261 0.09892819 0.09952883         NA
#> 
#> Dark causality matrix:
#>            AO       AAO       NAO       PNA
#> AO         NA 0.3836571 0.5111200 0.5083887
#> AAO 0.5000406        NA 0.4705213 0.4720415
#> NAO 0.4483534 0.4920280        NA 0.5345958
#> PNA 0.5551656 0.3840618 0.3810829        NA