create_umap {musicatk} | R Documentation

## Create a UMAP from a musica result

### Description

Proportional sample exposures will be used as input into the `umap` function to generate a two dimensional UMAP.

### Usage

    create_umap(result, n_neighbors = 30, min_dist = 0.75, spread = 1)

### Arguments

`result` | A `musica_result` object generated by a mutational discovery or prediction tool.
`n_neighbors` | The size of local neighborhood used for views of manifold approximation. Larger values result in more global the manifold, while smaller values result in more local data being preserved. If `n_neighbors` is larger than the number of samples, then `n_neighbors` will automatically be set to the number of samples in the `musica_result`. Default `30`.
`min_dist` | The effective minimum distance between embedded points. Smaller values will result in a more clustered/clumped embedding where nearby points on the manifold are drawn closer together, while larger values will result on a more even dispersal of points. Default `0.2`.
`spread` | The effective scale of embedded points. In combination with ‘min_dist’, this determines how clustered/clumped the embedded points are. Default `1`.

### Value

A `musica_result` object with a new UMAP stored in the `UMAP` slot.

### See Also

See plot_umap to display the UMAP and `umap` for more information on the individual parameters for generating UMAPs.

### Examples

    data(res_annot)
    create_umap(result = res_annot)

[Package musicatk version 1.0.0 Index]