Pairwise PLS datasets comparison — run_pairwise

Runs a Projection to Latent Structure (PLS) analysis on a pair of omics datasets, as per the mixOmics package.

Usage

run_pairwise_pls(mixomics_data, datasets_name, ..., verbose = TRUE)

Arguments

mixomics_data: A mixOmics input object created with get_input_mixomics_supervised.
datasets_name: Character vector of length 2, the names of the two omics datasets to analyse.
...: Additional parameters to be passed to the pls function.
verbose: Logical, should details be printed during execution? Default value is TRUE.

Value

A named list; each element is an object of class pls, which provides the result of the PLS run. The name of the datasets analysed is stored as a character vector in the datasets_name attribute.

Details

Note only one latent component is computed as only the first latent component will be used to assess the correlation between datasets.

Examples

if (FALSE) { # \dontrun{
run_pairwise_pls(mo_set, c("rnaseq", "metabolome"))
} # }