plot_weights_heatmap {MOFA2} | R Documentation

## Plot heatmap of the weights

### Description

Function to visualize the weights for a given set of factors in a given view.
This is useful to visualize the overall pattern of the weights but not to individually characterise the factors.
To inspect the weights of individual factors, use the functions `plot_weights` and `plot_top_weights`

### Usage

    plot_weights_heatmap(
      object,
      view = 1,
      features = "all",
      factors = "all",
      threshold = 0,
      ...
    )

### Arguments

`object` | a trained `MOFA` object.
`view` | character vector with the view name(s), or numeric vector with the index of the view(s) to use. Default is the first view.
`features` | character vector with the feature name(s), or numeric vector with the index of the feature(s) to use. Default is 'all'.
`factors` | character vector with the factor name(s), or numeric vector with the index of the factor(s) to use. Default is 'all'.
`threshold` | threshold on absolute weight values, so that weights with a magnitude below this threshold (in all factors) are removed
`...` | extra arguments passed to `pheatmap`.

### Value

A `pheatmap` object

### Examples

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

[Package MOFA2 version 1.0.1 Index]