subsetFactors {MOFA} | R Documentation

## Subset factors

### Description

Method to subset (or sort) factors.
Some factors might not be interesting for the downstream analysis and the user can choose to remove them. This has no effect on the values of the other factors. For example, this could be done if the model contains factors which are inactive in all views.

### Usage

    subsetFactors(object, factors)

### Arguments

`object` | a `MOFAmodel` object.
`factors` | character vector with the factor names (LF1,LF2,...), or numeric vector with the index of the factors.

### Value

`MOFAmodel` object with a subset of factors

### Examples

    # Using an existing trained model on the CLL data
    filepath <- system.file("extdata", "CLL_model.hdf5", package = "MOFAdata")
    MOFA_CLL <- loadModel(filepath)
    MOFA_CLL_small <- subsetFactors(MOFA_CLL, factors=c(1,2,3))
    MOFA_CLL_small
    MOFA_CLL_small <- subsetFactors(MOFA_CLL, factors=c("LF1","LF2","LF3"))
    MOFA_CLL_small

[Package MOFA version 1.6.2 Index]