getFactors {MOFA} | R Documentation

## getFactors

### Description

Extract the latent factors from the model.

### Usage

    getFactors(object, factors = "all", as.data.frame = FALSE)

### Arguments

`object` | a trained `MOFAmodel` object.
`factors` | character vector with the factor name(s), or numeric vector with the factor index(es). Default is "all".
`as.data.frame` | logical indicating whether to return a long data frame instead of a matrix. Default is `FALSE`.

### Value

By default it returns the latent factor matrix of dimensionality (N,K), where N is number of samples and K is number of factors.
Alternatively, if `as.data.frame` is `TRUE`, returns a long-formatted data frame with columns (sample,factor,value).

### Examples

    # load a trained MOFAmodel object
    filepath <- system.file("extdata", "CLL_model.hdf5", package = "MOFAdata")
    MOFAobject <- loadModel(filepath)
    # get factors as matrix
    getFactors(MOFAobject, factors = 1:3)
    # get factors as data.frame
    head(getFactors(MOFAobject, factors = 1:5, as.data.frame = TRUE))

[Package MOFA version 1.6.2 Index]