allCommonDistinctive: allCommonDistinctive: creates all common and distinctive...
In trbKnl/sparseWeightBasedPCA: Sparse weight based PCA

Description Usage Arguments Value Examples

View source: R/allCommonDistinctiveStructures.R

A function that generates all common and distinctive structures given the number of variables per block and the number of components

allCommonDistinctive(
  vars,
  ncomp,
  allPermutations = TRUE,
  filterZeroSegments = TRUE
)

`vars`	A vector with integers indicating the number of variables per data block. For example, c(10, 20, 5), the first 10 variables belong the first block, the next 20 variables belong to the second block, the next 5 variables belong to the third block
`ncomp`	The number of components that are of interest
`allPermutations`	A boolean with default `TRUE`. If set to `TRUE`, all permutations of common and distinctive will be taken into account (a certain component can occur in all positions). If set to `FALSE` all permutations will not be taken into account i.e. a certain component can only occur once. If the intent is to use multiple starts use `FALSE` else use `TRUE`
`filterZeroSegments`	A boolean with default `TRUE`. If set to `TRUE` components where all blocks are set to zero are not included.

A list with all common and distinctive structures

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allCommonDistinctive(vars = c(10, 5, 5), ncomp = 3, allPermutations = TRUE, filterZeroSegments = TRUE)
allCommonDistinctive(vars = c(10, 5, 5), ncomp = 3, allPermutations = FALSE, filterZeroSegments = FALSE)