compare_factors {MOFA2} | R Documentation

## Plot the correlation of factors between different models

### Description

Different `MOFA` objects are compared in terms of correlation between their factors.

### Usage

    compare_factors(models, ...)

### Arguments

`models` | a list with `MOFA` objects.
`...` | extra arguments passed to pheatmap

### Details

If assessing model robustness across trials, the output should look like a block diagonal matrix, suggesting that all factors are robustly detected in all model instances.

### Value

Plots a heatmap of the Pearson correlation between latent factors across all input models.

### Examples

    # Using an existing trained model on simulated data
    file <- system.file("extdata", "model.hdf5", package = "MOFA2")
    model1 <- load_model(file)
    model2 <- load_model(file)

    # Compare factors between models
    compare_factors(list(model1,model2))

[Package MOFA2 version 1.4.0 Index]