Perform Data Decomposition

Perform linear or non-linear decomposition of numeric data.

Usage

decomp(x, algorithm = "ICA", config = NULL, verbosity = 1L)

Arguments

x

Matrix or data frame: Input data.

algorithm

Character: Decomposition algorithm.

config

DecompositionConfig: Algorithm-specific config.

verbosity

Integer: Verbosity level.

Value

Decomposition object.

Details

See docs.rtemis.org/r for detailed documentation.

Author

EDG

Examples

iris_pca <- decomp(exc(iris, "Species"), algorithm = "PCA")
#> 2026-03-15 07:49:43 
#> ▶
#>  [decomp]
#> 2026-03-15 07:49:43 
#> Input: 150 cases x 4 features.
#>  [summarize_unsupervised]
#> 2026-03-15 07:49:43 
#> Decomposing with PCA...
#>  [decomp]
#> 2026-03-15 07:49:43 
#> Checking unsupervised data...
#>  
#> ✓ 
#> [check_unsupervised_data]
#> 
#> 2026-03-15 07:49:43 
#> Decomposing with PCA ...
#>  [decomp_]
#> 2026-03-15 07:49:43 
#> ✓ Done in 0.01 seconds.
#>  [decomp]