get_default_data_options {MOFA2} | R Documentation

## Get default data options

### Description

Function to obtain the default data options.

### Usage

    get_default_data_options(object)

### Arguments

`object` | an untrained `MOFA` object

### Details

This function provides a default set of data options that can be modified and passed to the `MOFA` object in the `prepare_mofa` step (see example), i.e. after creating a `MOFA` object (using `create_mofa`) and before starting the training (using `run_mofa`) The data options are the following:

- scale_views: logical indicating whether to scale views to have the same unit variance. As long as the scale differences between the views is not too high, this is not required. Default is FALSE.

- scale_groups: logical indicating whether to scale groups to have the same unit variance. As long as the scale differences between the groups is not too high, this is not required. Default is FALSE.

- use_float32: logical indicating whether use float32 instead of float64 arrays to increase speed and memory usage. Default is FALSE.

### Value

Returns a list with the default data options.

### Examples

    # Using an existing simulated data with two groups and two views
    file <- system.file("extdata", "test_data.RData", package = "MOFA2")

    # Load data dt (in data.frame format)
    load(file)

    # Create the MOFA object
    MOFAmodel <- create_mofa(dt)

    # Load default data options
    data_opts <- get_default_data_options(MOFAmodel)

    # Edit some of the data options
    data_opts$scale_views <- TRUE

    # Prepare the MOFA object
    MOFAmodel <- prepare_mofa(MOFAmodel, data_options = data_opts)

[Package MOFA2 version 1.4.0 Index]